Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation

Search Page

Filters

My Custom Filters

Results by year

Table representation of search results timeline featuring number of search results per year.

Year Number of Results
1986 2
1987 1
1988 1
1989 1
1990 3
1991 3
1992 4
1993 2
1994 3
1995 6
1997 1
1998 3
1999 3
2000 6
2001 4
2002 4
2003 7
2004 8
2005 23
2006 13
2007 16
2008 24
2009 22
2010 20
2011 20
2012 20
2013 23
2014 34
2015 26
2016 39
2017 44
2018 93
2019 161
2020 239
2021 311
2022 321
2023 355
2024 513
2025 36

Publication date

Text availability

Article attribute

Article type

Additional filters

Article Language

Species

Sex

Age

Other

Search Results

2,142 results

Results by year

Filters applied: . Clear all
Page 1
Exploring the anticancer activities of Sulfur and magnesium oxide through integration of deep learning and fuzzy rough set analyses based on the features of Vidarabine alkaloid.
Askr H, Fayed MAA, Farghaly HM, Gomaa MM, Elgeldawi E, Elshaier YAMM, Darwish A, Hassanien AE. Askr H, et al. Sci Rep. 2025 Jan 17;15(1):2224. doi: 10.1038/s41598-024-82483-8. Sci Rep. 2025. PMID: 39824867 Free article.
Laboratory experiments conducted on Vidarabine showed IC(50) 6.97 gmL, 25.78 gmL, and 100 gmL against non-small Lung cancer (A-549), Human Melanoma (A-375), and Human epidermoid Skin carcinoma (skin/epidermis) (A-431) respectively. To address these challenges …
Laboratory experiments conducted on Vidarabine showed IC(50) 6.97 gmL, 25.78 gmL, and 100 gmL against non-small Lung cancer (A-549), …
Deep learning-based skin lesion analysis using hybrid ResUNet++ and modified AlexNet-Random Forest for enhanced segmentation and classification.
Mustafa S, Jaffar A, Rashid M, Akram S, Bhatti SM. Mustafa S, et al. PLoS One. 2025 Jan 16;20(1):e0315120. doi: 10.1371/journal.pone.0315120. eCollection 2025. PLoS One. 2025. PMID: 39820868 Free article.
Skin cancer is considered globally as the most fatal disease. Most likely all the patients who received wrong diagnosis and low-quality treatment die early. Though if it is detected in the early stages the patient has fairly good chance and the …
Skin cancer is considered globally as the most fatal disease. Most likely all the patients who received wrong diagnosis …
Psoriasis severity assessment: Optimizing diagnostic models with deep learning.
Maulana A, Noviandy TR, Suhendra R, Earlia N, Prakoeswa CR, Kairupan TS, Idroes GM, Subianto M, Idroes R. Maulana A, et al. Narra J. 2024 Dec;4(3):e1512. doi: 10.52225/narra.v4i3.1512. Epub 2024 Dec 19. Narra J. 2024. PMID: 39816098 Free PMC article.
Psoriasis is a chronic skin condition with challenges in the accurate assessment of its severity due to subtle differences between severity levels. ...
Psoriasis is a chronic skin condition with challenges in the accurate assessment of its severity due to subtle differences between se …
HistoColAi: An open-source web platform for collaborative digital histology image annotation with AI-driven predictive integration.
Pulgarín-Ospina CC, Amor RD, Silva-Rodríguez JJ, Colomer A, Naranjo V. Pulgarín-Ospina CC, et al. Comput Methods Programs Biomed. 2025 Jan 1;260:108577. doi: 10.1016/j.cmpb.2024.108577. Online ahead of print. Comput Methods Programs Biomed. 2025. PMID: 39813900 Review.
Moreover, to demonstrate the effectiveness of this approach, we present a use case centered on the diagnosis of spindle cell skin neoplasm involving multiple annotators. Additionally, we conduct a usability study, showing the feasibility of the developed tool....
Moreover, to demonstrate the effectiveness of this approach, we present a use case centered on the diagnosis of spindle cell skin …
Evaluating the Diagnostic Accuracy and Challenges of the Two-Week Wait Referral Pathway for Skin Cancers in Primary Care.
Shivakumar H, Chanda UL, Onwuchekwa O. Shivakumar H, et al. Cureus. 2025 Jan 14;17(1):e77410. doi: 10.7759/cureus.77410. eCollection 2025 Jan. Cureus. 2025. PMID: 39811725 Free PMC article.
Skin cancer survival rates are highly dependent upon early identification. In the United Kingdom (UK), initial assessment of skin lesions is carried out via general practitioners (GPs) who identify and refer suspected cases under the two-week pathway i …
Skin cancer survival rates are highly dependent upon early identification. In the United Kingdom (UK), initial assessme …
Diagnosis and prognosis of melanoma from dermoscopy images using machine learning and deep learning: a systematic literature review.
Naseri H, Safaei AA. Naseri H, et al. BMC Cancer. 2025 Jan 13;25(1):75. doi: 10.1186/s12885-024-13423-y. BMC Cancer. 2025. PMID: 39806282 Free PMC article.
BACKGROUND: Melanoma is a highly aggressive skin cancer, where early and accurate diagnosis is crucial to improve patient outcomes. ...By addressing these areas, machine learning and deep learning models could play a central role in advancing melanoma …
BACKGROUND: Melanoma is a highly aggressive skin cancer, where early and accurate diagnosis is crucial to improv …
The role of mitophagy-related genes in prognosis and immunotherapy of cutaneous melanoma: a comprehensive analysis based on single-cell RNA sequencing and machine learning.
Tian J, Zhang L, Shi K, Yang L. Tian J, et al. Immunol Res. 2025 Jan 11;73(1):30. doi: 10.1007/s12026-025-09593-x. Immunol Res. 2025. PMID: 39799269
Mitophagy, the selective degradation of mitochondria by autophagy, plays a crucial role in cancer progression and therapy response. This study aims to elucidate the role of mitophagy-related genes (MRGs) in cutaneous melanoma (CM) through single-cell RNA sequencing (scRNA- …
Mitophagy, the selective degradation of mitochondria by autophagy, plays a crucial role in cancer progression and therapy response. T …
Intelligent skin disease prediction system using transfer learning and explainable artificial intelligence.
Abbas S, Ahmed F, Khan WA, Ahmad M, Khan MA, Ghazal TM. Abbas S, et al. Sci Rep. 2025 Jan 11;15(1):1746. doi: 10.1038/s41598-024-83966-4. Sci Rep. 2025. PMID: 39799199 Free PMC article.
Skin diseases impact millions of people around the world and pose a severe risk to public health. ...The identified symptoms provide valuable insights that could support timely diagnosis and treatment decisions for skin diseases....
Skin diseases impact millions of people around the world and pose a severe risk to public health. ...The identified symptoms provide …
AI-Driven Enhancement of Skin Cancer Diagnosis: A Two-Stage Voting Ensemble Approach Using Dermoscopic Data.
Chiu TM, Li YC, Chi IC, Tseng MH. Chiu TM, et al. Cancers (Basel). 2025 Jan 3;17(1):137. doi: 10.3390/cancers17010137. Cancers (Basel). 2025. PMID: 39796764 Free PMC article.
Traditional skin cancer detection methods are effective but are often costly and time-consuming. Recent advances in artificial intelligence have improved skin cancer diagnosis by helping dermatologists identify suspicious le …
Traditional skin cancer detection methods are effective but are often costly and time-consuming. Recent advances in …
Deep Learning for Melanoma Detection: A Deep Learning Approach to Differentiating Malignant Melanoma from Benign Melanocytic Nevi.
Kreouzi M, Theodorakis N, Feretzakis G, Paxinou E, Sakagianni A, Kalles D, Anastasiou A, Verykios VS, Nikolaou M. Kreouzi M, et al. Cancers (Basel). 2024 Dec 25;17(1):28. doi: 10.3390/cancers17010028. Cancers (Basel). 2024. PMID: 39796659 Free PMC article.
Background/Objectives: Melanoma, an aggressive form of skin cancer, accounts for a significant proportion of skin-cancer-related deaths worldwide. ...The CNNs show substantial potential for improving melanoma detection in clinical and mobile app …
Background/Objectives: Melanoma, an aggressive form of skin cancer, accounts for a significant proportion of skin-ca …
Robustly detecting mpox and non-mpox using a deep learning framework based on image inpainting.
Cao Y, Yue Y, Ma X, Liu D, Ni R, Liang H, Li Z. Cao Y, et al. Sci Rep. 2025 Jan 10;15(1):1576. doi: 10.1038/s41598-025-85771-z. Sci Rep. 2025. PMID: 39794381 Free PMC article.
We used the recognized mpox dataset (MSLD) and a dataset containing 18 categories of non-mpox skin diseases to verify the effectiveness and robustness of MIM. Experimental results show that the average AUROC of MIM achieves 0.8237. ...
We used the recognized mpox dataset (MSLD) and a dataset containing 18 categories of non-mpox skin diseases to verify the effectivene …
The 2023 Update on Pressure Injuries: A Review of the Literature.
Berlowitz D, Konchinski B, Chen L, DeCastro SS. Berlowitz D, et al. Adv Skin Wound Care. 2024 Nov-Dec 01;37(11&12):571-578. doi: 10.1097/ASW.0000000000000218. Adv Skin Wound Care. 2024. PMID: 39792508 Review.
Identify recent findings concerning the role of artificial intelligence in staging PIs. More than 700 new articles were added to the pressure injury (PI) literature in 2023, challenging clinicians, educators, and researchers who try to stay current. ...The articles …
Identify recent findings concerning the role of artificial intelligence in staging PIs. More than 700 new articles were added …
The Comparative Sufficiency of ChatGPT, Google Bard, and Bing AI in Answering Diagnosis, Treatment, and Prognosis Questions About Common Dermatological Diagnoses.
Chau CA, Feng H, Cobos G, Park J. Chau CA, et al. JMIR Dermatol. 2025 Jan 7;8:e60827. doi: 10.2196/60827. JMIR Dermatol. 2025. PMID: 39791363 Free article.
Our team explored the utility of unpaid versions of 3 artificial intelligence chatbots in offering patient-facing responses to questions about 5 common dermatological diagnoses, and highlighted the strengths and limitations of different artificial intellig …
Our team explored the utility of unpaid versions of 3 artificial intelligence chatbots in offering patient-facing responses to …
Skin image analysis for detection and quantitative assessment of dermatitis, vitiligo and alopecia areata lesions: a systematic literature review.
Kallipolitis A, Moutselos K, Zafeiriou A, Andreadis S, Matonaki A, Stavropoulos TG, Maglogiannis I. Kallipolitis A, et al. BMC Med Inform Decis Mak. 2025 Jan 8;25(1):10. doi: 10.1186/s12911-024-02843-2. BMC Med Inform Decis Mak. 2025. PMID: 39780145 Free PMC article.
Vitiligo, alopecia areata, atopic, and stasis dermatitis are common skin conditions that pose diagnostic and assessment challenges. Skin image analysis is a promising noninvasive approach for objective and automated detection as well as quantitative assessmen …
Vitiligo, alopecia areata, atopic, and stasis dermatitis are common skin conditions that pose diagnostic and assessment challenges. …
Exploring artificial intelligence for differentiating early syphilis from other skin lesions: a pilot study.
Sun J, Li Y, Yu Z, Towns JM, Soe NN, Latt PM, Zhang L, Ge Z, Fairley CK, Ong JJ, Zhang L. Sun J, et al. BMC Infect Dis. 2025 Jan 8;25(1):40. doi: 10.1186/s12879-024-10438-5. BMC Infect Dis. 2025. PMID: 39780050 Free PMC article.
BACKGROUND: Early diagnosis of syphilis is vital for its effective control. This study aimed to develop an Artificial Intelligence (AI) diagnostic model based on radiomics technology to distinguish early syphilis from other clinical skin …
BACKGROUND: Early diagnosis of syphilis is vital for its effective control. This study aimed to develop an Artificial …
Boosting skin cancer diagnosis accuracy with ensemble approach.
Natha P, Tera SP, Chinthaginjala R, Rab SO, Narasimhulu CV, Kim TH. Natha P, et al. Sci Rep. 2025 Jan 8;15(1):1290. doi: 10.1038/s41598-024-84864-5. Sci Rep. 2025. PMID: 39779772 Free PMC article.
Skin cancer is common and deadly, hence a correct diagnosis at an early age is essential. Effective therapy depends on precise classification of the several skin cancer forms, each with special traits. Because dermoscopy and other sophist …
Skin cancer is common and deadly, hence a correct diagnosis at an early age is essential. Effective therapy depe …
Superficial Fungal Infections and Artificial Intelligence: A Review on Current Advances and Opportunities: REVISION.
Hasan Pour B. Hasan Pour B. Mycoses. 2025 Jan;68(1):e70007. doi: 10.1111/myc.70007. Mycoses. 2025. PMID: 39775855 Review.
However, conventional diagnostic tests can be time-consuming, also treatment can be insufficient or ineffective and prevention can prove to be demanding. Artificial Intelligence (AI) refers to a digital system having an intelligence akin to a human being. ... …
However, conventional diagnostic tests can be time-consuming, also treatment can be insufficient or ineffective and prevention can prove to …
Multi-scale feature fusion of deep convolutional neural networks on cancerous tumor detection and classification using biomedical images.
Prakash UM, Iniyan S, Dutta AK, Alsubai S, Naga Ramesh JV, Mohanty SN, Dudekula KV. Prakash UM, et al. Sci Rep. 2025 Jan 7;15(1):1105. doi: 10.1038/s41598-024-84949-1. Sci Rep. 2025. PMID: 39774273 Free PMC article.
In the present scenario, cancerous tumours are common in humans due to major changes in nearby environments. Skin cancer is a considerable disease detected among people. This cancer is the uncontrolled evolution of atypical skin cells. ...However, in r …
In the present scenario, cancerous tumours are common in humans due to major changes in nearby environments. Skin cancer is a …
Artificial Intelligence in the Non-Invasive Detection of Melanoma.
İsmail Mendi B, Kose K, Fleshner L, Adam R, Safai B, Farabi B, Atak MF. İsmail Mendi B, et al. Life (Basel). 2024 Dec 4;14(12):1602. doi: 10.3390/life14121602. Life (Basel). 2024. PMID: 39768310 Free PMC article. Review.
Skin cancer is one of the most prevalent cancers worldwide, with increasing incidence. ...While these techniques are useful, there is wide inter-user variability and minimal training for dermatology residents on how to properly use these devices. The use of artif …
Skin cancer is one of the most prevalent cancers worldwide, with increasing incidence. ...While these techniques are useful, t …
From Outbreaks to Artificial Intelligence: A Comprehensive Review of Monkeypox Virus Epidemiology, Diagnosis, Treatment, Vaccination, and Deep Learning Applications.
Ahmadi S, Amirzadeh M, Ahmadi M, Soleiman-Meigooni S. Ahmadi S, et al. J Trop Med. 2024 Dec 30;2024:6688914. doi: 10.1155/jotm/6688914. eCollection 2024. J Trop Med. 2024. PMID: 39764350 Free PMC article. Review.
Methods: This systematic review study searched for articles on virus epidemiology, virology, clinical features, transmission routes, available drugs and vaccines, and new artificial intelligence (AI) applications in diagnosis and drug discovery. Results: MPOX …
Methods: This systematic review study searched for articles on virus epidemiology, virology, clinical features, transmission routes, availab …
Screened of long non-coding RNA related to wool development and fineness in Gansu alpine fine-wool sheep.
He Z, Zhao F, Sun H, Hu J, Wang J, Liu X, Li M, Hao Z, Zhao Z, Shi B, Liu F, Li S. He Z, et al. BMC Genomics. 2025 Jan 6;26(1):8. doi: 10.1186/s12864-024-11195-0. BMC Genomics. 2025. PMID: 39762742 Free PMC article.
Furthermore, a comprehensive analysis revealed 164 differentially expressed lncRNAs along with 146 potential target genes linked to these lncRNAs in the skin tissues from groups C and F. Utilizing functional enrichment analysis on the target genes, we successfully identifi …
Furthermore, a comprehensive analysis revealed 164 differentially expressed lncRNAs along with 146 potential target genes linked to these ln …
AI-assisted Total Body Dermoscopic Evaluation of Changes in Melanocytic Nevi during Pregnancy: A Prospective, Comparative Study of 2,799 Nevi.
Peter JK, Helfenstein F, Cerminara SE, Maul JT, Zehnder ML, Jamiolkowski D, Roider E, Mühleisen B, Hösli I, Navarini AA, Maul LV. Peter JK, et al. Acta Derm Venereol. 2025 Jan 3;105:adv41025. doi: 10.2340/actadv.v105.41025. Acta Derm Venereol. 2025. PMID: 39749388 Free PMC article.
We included 25 pregnant and 25 non-pregnant women from Basel, Switzerland, who underwent standard skin cancer screenings and whose MN > 2 mm were digitally recorded and analysed by a CNN. ...
We included 25 pregnant and 25 non-pregnant women from Basel, Switzerland, who underwent standard skin cancer screenings …
The usefulness of automated high frequency ultrasound image analysis in atopic dermatitis staging.
Czajkowska J, Polańska A, Slian A, Dańczak-Pazdrowska A. Czajkowska J, et al. Sci Rep. 2025 Jan 2;15(1):163. doi: 10.1038/s41598-024-84051-6. Sci Rep. 2025. PMID: 39747292 Free PMC article.
The Dice coefficient values for segmentation reached 0.908 for SLEB and 0.936 for the entry echo layer. The accuracy of SLEB presence detection results (IGA0) is equal to 98% and slightly outperforms the experts' assessment, which reaches 96%. ...The results indicate that …
The Dice coefficient values for segmentation reached 0.908 for SLEB and 0.936 for the entry echo layer. The accuracy of SLEB presence det …
An automated privacy-preserving self-supervised classification of COVID-19 from lung CT scan images minimizing the requirements of large data annotation.
Chowa SS, Bhuiyan MRI, Tahosin MS, Karim A, Montaha S, Hassan MM, Shah MA, Azam S. Chowa SS, et al. Sci Rep. 2025 Jan 2;15(1):226. doi: 10.1038/s41598-024-83972-6. Sci Rep. 2025. PMID: 39747232 Free PMC article.
The efficacy of the proposed framework is further showcased by showing its performance on three distinct modality datasets: skin cancer, breast cancer, and chest X-rays. In conclusion, this study offers a promising solution for accurate diagnosis of ch …
The efficacy of the proposed framework is further showcased by showing its performance on three distinct modality datasets: skin c …
Machine learning derived retinal pigment score from ophthalmic imaging shows ethnicity is not biology.
Rajesh AE, Olvera-Barrios A, Warwick AN, Wu Y, Stuart KV, Biradar MI, Ung CY, Khawaja AP, Luben R, Foster PJ, Cleland CR, Makupa WU, Denniston AK, Burton MJ, Bastawrous A, Keane PA, Chia MA, Turner AW, Lee CS, Tufail A, Lee AY, Egan C; UK Biobank Eye and Vision Consortium. Rajesh AE, et al. Nat Commun. 2025 Jan 2;16(1):60. doi: 10.1038/s41467-024-55198-7. Nat Commun. 2025. PMID: 39746957 Free PMC article.
A genome-wide association study (GWAS) of RPS from UK Biobank identified 20 loci with known associations with skin, iris and hair pigmentation, of which eight were replicated in the EPIC-Norfolk cohort. ...
A genome-wide association study (GWAS) of RPS from UK Biobank identified 20 loci with known associations with skin, iris and hair pig …
Rethinking BCC diagnosis: Automating concept-specific detection of BCC in dermatoscopic images.
Wang Z, Hu H, Liu Z, Lin K, Yang Y, Liu C, Chen X, Zhang J. Wang Z, et al. J Dtsch Dermatol Ges. 2024 Dec 31. doi: 10.1111/ddg.15608. Online ahead of print. J Dtsch Dermatol Ges. 2024. PMID: 39737619
BACKGROUND: Basal cell carcinoma (BCC) is a prevalent type of skin cancer in which the inherent subjectivity of dermoscopy poses diagnostic challenges. ...Statistical evaluations, such as grouped bar charts and line graphs, validated the improvement in our clinical …
BACKGROUND: Basal cell carcinoma (BCC) is a prevalent type of skin cancer in which the inherent subjectivity of dermoscopy pos …
SkinSage XAI: An explainable deep learning solution for skin lesion diagnosis.
Munjal G, Bhardwaj P, Bhargava V, Singh S, Nagpal N. Munjal G, et al. Health Care Sci. 2024 Nov 28;3(6):438-455. doi: 10.1002/hcs2.121. eCollection 2024 Dec. Health Care Sci. 2024. PMID: 39735286 Free PMC article.
BACKGROUND: Skin cancer poses a significant global health threat, with early detection being essential for successful treatment. ...METHODS: To address these limitations, SkinSage XAI utilizes advanced explainable artificial intelligence …
BACKGROUND: Skin cancer poses a significant global health threat, with early detection being essential for succe …
Detection of Vitiligo Through Machine Learning and Computer-Aided Techniques: A Systematic Review.
Tanvir S, Syed SA, Hussain S, Zia R, Rashid M, Zahid H. Tanvir S, et al. Biomed Res Int. 2024 Dec 19;2024:3277546. doi: 10.1155/bmri/3277546. eCollection 2024. Biomed Res Int. 2024. PMID: 39734495 Free PMC article. Review.
Background and Objective: Vitiligo is a chronic skin damage disease, triggered by differential melanocyte death. Vitiligo (0.5%-1% of the population) is one of the most severe skin conditions. ...Priority is given to those studies only which use ML techniques to per …
Background and Objective: Vitiligo is a chronic skin damage disease, triggered by differential melanocyte death. Vitiligo (0.5%-1% of …
Novel anoikis-related diagnostic biomarkers for aortic dissection based on machine learning.
Zhang H, Ouyang Z, Zhou T, Su F, Wang M. Zhang H, et al. Sci Rep. 2024 Dec 28;14(1):31314. doi: 10.1038/s41598-024-82655-6. Sci Rep. 2024. PMID: 39732886 Free PMC article.
Aortic dissection (AD) is one of the most dangerous diseases of the cardiovascular system, which is characterized by acute onset and poor prognosis, while the pathogenesis of AD is still unclear and may affect or even delay the diagnosis of AD. Anchorage-dependent cell dea …
Aortic dissection (AD) is one of the most dangerous diseases of the cardiovascular system, which is characterized by acute onset and poor pr …
Artificial Intelligence-Aided Diagnosis System for the Detection and Classification of Private-Part Skin Diseases: Decision Analytical Modeling Study.
Wang W, Chen X, Xu L, Huang K, Zhao S, Wang Y. Wang W, et al. J Med Internet Res. 2024 Dec 27;26:e52914. doi: 10.2196/52914. J Med Internet Res. 2024. PMID: 39729353 Free PMC article.
BACKGROUND: Private-part skin diseases (PPSDs) can cause a patient's stigma, which may hinder the early diagnosis of these diseases. Artificial intelligence (AI) is an effective tool to improve the early diagnosis of PPSDs, especia …
BACKGROUND: Private-part skin diseases (PPSDs) can cause a patient's stigma, which may hinder the early diagnosis of th …
Explainable AI-Based Skin Cancer Detection Using CNN, Particle Swarm Optimization and Machine Learning.
Shah SAH, Shah STH, Khaled R, Buccoliero A, Shah SBH, Di Terlizzi A, Di Benedetto G, Deriu MA. Shah SAH, et al. J Imaging. 2024 Dec 22;10(12):332. doi: 10.3390/jimaging10120332. J Imaging. 2024. PMID: 39728229 Free PMC article.
Skin cancer is among the most prevalent cancers globally, emphasizing the need for early detection and accurate diagnosis to improve outcomes. Traditional diagnostic methods, based on visual examination, are subjective, time-intensive, and requi …
Skin cancer is among the most prevalent cancers globally, emphasizing the need for early detection and accurate …
Hybrid of Deep Feature Extraction and Machine Learning Ensembles for Imbalanced Skin Cancer Datasets.
Verma N, Ranvijay, Yadav DK. Verma N, et al. Exp Dermatol. 2024 Dec;33(12):e70020. doi: 10.1111/exd.70020. Exp Dermatol. 2024. PMID: 39716023
Skin cancer remains one of the most common and deadly forms of cancer, necessitating accurate and early diagnosis to improve patient outcomes. ...This study offers dermatologists and other medical practitioners' valuable insights into the classi …
Skin cancer remains one of the most common and deadly forms of cancer, necessitating accurate and early diagn …
Novel Diagnostics in Food Allergy.
Boyd H, Santos AF. Boyd H, et al. J Allergy Clin Immunol. 2024 Dec 20:S0091-6749(24)02403-5. doi: 10.1016/j.jaci.2024.12.1071. Online ahead of print. J Allergy Clin Immunol. 2024. PMID: 39710304 Free article. Review.
Food allergy diagnosis relies on clinical history, IgE sensitization tests, and oral food challenges. ...Future approaches may include alternative biological samples, novel laboratory technologies, and analytical tools, including artificial intelligence, to i …
Food allergy diagnosis relies on clinical history, IgE sensitization tests, and oral food challenges. ...Future approaches may includ …
Analysis of the use of digital technologies in the preliminary diagnosis of dermatological diseases: a systematic review.
Sapaico-Alberto AF, Olaya-Cotera S, Flores-Castañeda RO. Sapaico-Alberto AF, et al. Arch Dermatol Res. 2024 Dec 20;317(1):146. doi: 10.1007/s00403-024-03650-5. Arch Dermatol Res. 2024. PMID: 39704835 Review.
First, we investigate for which dermatological diseases these specialized technologies are used, finding that conditions such as skin cancer, rosacea and acne are the most diagnosed using advanced tools. Second, the technologies used to improve preliminary diagno …
First, we investigate for which dermatological diseases these specialized technologies are used, finding that conditions such as skin …
Accuracy of symptom checker for the diagnosis of sexually transmitted infections using machine learning and Bayesian network algorithms.
Soe NN, Towns JM, Latt PM, Woodberry O, Chung M, Lee D, Ong JJ, Chow EPF, Zhang L, Fairley CK. Soe NN, et al. BMC Infect Dis. 2024 Dec 18;24(1):1408. doi: 10.1186/s12879-024-10285-4. BMC Infect Dis. 2024. PMID: 39695420 Free PMC article.
Urethral discharge and other urinary symptoms were important features for predicting urethral gonorrhoea, NGU and UTIs. Similarly, participants selected skin images that were similar to their own lesions, and the location of the anogenital skin lesions were also str …
Urethral discharge and other urinary symptoms were important features for predicting urethral gonorrhoea, NGU and UTIs. Similarly, participa …
Decoding skin cancer classification: perspectives, insights, and advances through researchers' lens.
Ray A, Sarkar S, Schwenker F, Sarkar R. Ray A, et al. Sci Rep. 2024 Dec 18;14(1):30542. doi: 10.1038/s41598-024-81961-3. Sci Rep. 2024. PMID: 39695157 Free PMC article. Review.
Skin cancer is a significant global health concern, with timely and accurate diagnosis playing a critical role in improving patient outcomes. In recent years, computer-aided diagnosis systems have emerged as powerful tools for automated skin …
Skin cancer is a significant global health concern, with timely and accurate diagnosis playing a critical role in impro …
The Depth Estimation and Visualization of Dermatological Lesions: Development and Usability Study.
Parekh P, Oyeleke R, Vishwanath T. Parekh P, et al. JMIR Dermatol. 2024 Dec 18;7:e59839. doi: 10.2196/59839. JMIR Dermatol. 2024. PMID: 39693616 Free PMC article.
METHODS: We started by performing classification using a convolutional neural network (CNN), followed by using explainable artificial intelligence to localize the image features responsible for the CNN output. We used the gradient class activation map approach to pe …
METHODS: We started by performing classification using a convolutional neural network (CNN), followed by using explainable artificial …
The use of ChatGPT in the dermatological field: a narrative review.
Potestio L, Feo F, Martora F, Megna M, Napolitano M, D'Agostino M. Potestio L, et al. Clin Exp Dermatol. 2024 Dec 18:llae546. doi: 10.1093/ced/llae546. Online ahead of print. Clin Exp Dermatol. 2024. PMID: 39690824
Artificial Intelligence (AI) encompasses the development of computer systems capable of tasks typically requiring human intelligence, such as visual perception, speech recognition, decision-making, and language translation. ...In this context, the aim of this …
Artificial Intelligence (AI) encompasses the development of computer systems capable of tasks typically requiring human int …
Towards an integrated imaging for melanoma diagnosis: A review of multispectral, hyperspectral, and thermal technologies with preliminary system development.
Oniga M, Sultana A, Alexandrescu B, Orzan O. Oniga M, et al. Comput Biol Med. 2024 Dec 16;185:109570. doi: 10.1016/j.compbiomed.2024.109570. Online ahead of print. Comput Biol Med. 2024. PMID: 39689522 Free article. Review.
The diagnosis of melanoma traditionally relies on visual inspection or on the use of the dermoscope, which do not have capabilities for early and precise detection. ...Since there is currently a very big interest in developing artificial intelligenc …
The diagnosis of melanoma traditionally relies on visual inspection or on the use of the dermoscope, which do not have capabilities f …
Integrating Remote Photoplethysmography and Machine Learning on Multimodal Dataset for Noninvasive Heart Rate Monitoring.
Buyung RA, Bustamam A, Ramazhan MRS. Buyung RA, et al. Sensors (Basel). 2024 Nov 26;24(23):7537. doi: 10.3390/s24237537. Sensors (Basel). 2024. PMID: 39686079 Free PMC article.
Non-contact heart monitoring is crucial in advancing telemedicine, fitness tracking, and mass screening. Remote photoplethysmography (rPPG) is a non-contact technique to obtain information about heart pulse by analyzing the changes in the light intensity reflected o …
Non-contact heart monitoring is crucial in advancing telemedicine, fitness tracking, and mass screening. Remote photoplethysmo …
A Closed-Loop Ear-Worn Wearable EEG System with Real-Time Passive Electrode Skin Impedance Measurement for Early Autism Detection.
Sheeraz M, Aslam AR, Drakakis EM, Heidari H, Altaf MAB, Saadeh W. Sheeraz M, et al. Sensors (Basel). 2024 Nov 24;24(23):7489. doi: 10.3390/s24237489. Sensors (Basel). 2024. PMID: 39686027 Free PMC article.

Autism spectrum disorder (ASD) is a chronic neurological disorder with the severity directly linked to the diagnosis age. The severity can be reduced if diagnosis and intervention are early (age < 2 years). This work presents a novel ear-worn wearable EEG

…
Autism spectrum disorder (ASD) is a chronic neurological disorder with the severity directly linked to the diagnosis age. The severit …
Exploring the Role of Large Language Models in Melanoma: A Systematic Review.
Zarfati M, Nadkarni GN, Glicksberg BS, Harats M, Greenberger S, Klang E, Soffer S. Zarfati M, et al. J Clin Med. 2024 Dec 9;13(23):7480. doi: 10.3390/jcm13237480. J Clin Med. 2024. PMID: 39685937 Free PMC article. Review.
Results: Nine studies were included, categorized into subgroups: patient education, diagnosis, and clinical management. In patient education, LLMs demonstrated high accuracy, though readability often exceeded recommended levels. For diagnosis, multimodal LLMs like G …
Results: Nine studies were included, categorized into subgroups: patient education, diagnosis, and clinical management. In patient ed …
Applying Neural Networks to Analyse Inflammatory, Sociodemographic, and Psychological Factors in Non-Melanoma Skin Cancer and Colon Cancer: A Statistical and Artificial Intelligence Approach.
Mercuţ R, Ciurea ME, Traşcă ET, Ionescu M, Mercuţ MF, Rădulescu PM, Călăraşu C, Streba L, Ionescu AG, Rădulescu D. Mercuţ R, et al. Diagnostics (Basel). 2024 Dec 7;14(23):2759. doi: 10.3390/diagnostics14232759. Diagnostics (Basel). 2024. PMID: 39682667 Free PMC article.
Background/Objectives: Chronic inflammation and psychosocial factors significantly influence cancer progression and patient behavior in seeking medical care. Understanding their interplay is essential for enhancing early detection and developing personalized …
Background/Objectives: Chronic inflammation and psychosocial factors significantly influence cancer progression and patient behavior …
Potential shared mechanisms in atopic dermatitis and type 2 diabetes identified via transcriptomic and machine learning approaches.
Zhang Y, Wei Q, Chen Q. Zhang Y, et al. Sci Rep. 2024 Dec 16;14(1):30467. doi: 10.1038/s41598-024-82732-w. Sci Rep. 2024. PMID: 39681684 Free PMC article.
Although atopic dermatitis (AD) and type 2 diabetes mellitus (T2DM) may appear clinically and pathophysiologically unrelated, AD is a common skin disease characterized by chronic inflammation and skin barrier dysfunction, whereas T2DM is a metabolic disorder marked …
Although atopic dermatitis (AD) and type 2 diabetes mellitus (T2DM) may appear clinically and pathophysiologically unrelated, AD is a common …
Personalized melanoma grading system: a presentation of a patient with four melanomas detected over two decades with evolving whole-body imaging and artificial intelligence systems.
Drugge R, Naqo X, Dedej S, Girnyk G, Naqo J, Drugge F, Volpicelli E. Drugge R, et al. Dermatol Online J. 2024 Oct 15;30(5). doi: 10.5070/D330564426. Dermatol Online J. 2024. PMID: 39680967 Free article.
This retrospective study includes the multidimensional analysis of five melanomas in a man in our clinic including whole-body photography, dermatoscopy, artificial intelligence system, genetic test, and the final histopathological conclusion. ...
This retrospective study includes the multidimensional analysis of five melanomas in a man in our clinic including whole-body photography, d …
Development and Validation of a Smartphone Application for Neonatal Jaundice Screening.
Ngeow AJH, Moosa AS, Tan MG, Zou L, Goh MMR, Lim GH, Tagamolila V, Ereno I, Durnford JR, Cheung SKH, Hong NWJ, Soh SY, Tay YY, Chang ZY, Ong R, Tsang LPM, Yip BKL, Chia KW, Yap K, Lim MH, Ta AWA, Goh HL, Yeo CL, Chan DKL, Tan NC; BiliSG Study Group. Ngeow AJH, et al. JAMA Netw Open. 2024 Dec 2;7(12):e2450260. doi: 10.1001/jamanetworkopen.2024.50260. JAMA Netw Open. 2024. PMID: 39661385 Free PMC article.
CONCLUSIONS AND RELEVANCE: In this diagnostic study of a new smartphone-based ML app, there was good correlation and statistical agreement with TSB with sensitivity of 100%. The screening tool has the potential to be an NNJ screening tool, with treatment decisions b …
CONCLUSIONS AND RELEVANCE: In this diagnostic study of a new smartphone-based ML app, there was good correlation and statistical agreement w …
Advancing hyperspectral imaging and machine learning tools toward clinical adoption in tissue diagnostics: A comprehensive review.
Lai CL, Karmakar R, Mukundan A, Natarajan RK, Lu SC, Wang CY, Wang HC. Lai CL, et al. APL Bioeng. 2024 Dec 6;8(4):041504. doi: 10.1063/5.0240444. eCollection 2024 Dec. APL Bioeng. 2024. PMID: 39660034 Free PMC article. Review.
It features a variety of medical applications namely diagnosing diabetic retinopathy, neurodegenerative diseases like Parkinson's and Alzheimer's, which illustrates its effectiveness in early diagnosis, early caries detection in periodontal disease, an …
It features a variety of medical applications namely diagnosing diabetic retinopathy, neurodegenerative diseases like Parkinson's and Alzhei …
Characterization of mammographic markers of inflammatory breast cancer (IBC).
Barkana BD, Ahmad B, Essodegui F, Lembarki G, Pfeiffer R, Soliman AS, Roubidoux MA. Barkana BD, et al. Phys Med. 2025 Jan;129:104870. doi: 10.1016/j.ejmp.2024.104870. Epub 2024 Dec 9. Phys Med. 2025. PMID: 39657329
PURPOSE: Inflammatory breast cancer (IBC) is a rare and aggressive type of breast cancer, as many physicians may not be aware of it in terms of symptoms and diagnosis. Mammography is the first choice in breast screenings and diagnosis. Because o …
PURPOSE: Inflammatory breast cancer (IBC) is a rare and aggressive type of breast cancer, as many physicians may not be aware …
Assessment of image quality on the diagnostic performance of clinicians and deep learning models: Cross-sectional comparative reader study.
Oloruntoba AI, Asghari-Jafarabadi M, Sashindranath M, Ingvar Å, Adler NR, Vico-Alonso C, Niklasson L, Caixinha AL, Hiscutt E, Holmes Z, Assersen KB, Adamson S, Jegathees T, Bertelsen T, Velasco-Tamariz V, Helkkula T, Kristiansen S, Toholka R, Goh MS, Chamberlain A, McCormack C, Vestergaard T, Mehta D, Nguyen TD, Ge Z, Soyer HP, Mar V. Oloruntoba AI, et al. J Eur Acad Dermatol Venereol. 2024 Dec 10. doi: 10.1111/jdv.20462. Online ahead of print. J Eur Acad Dermatol Venereol. 2024. PMID: 39655640
BACKGROUND: Skin cancer is a prevalent and clinically significant condition, with early and accurate diagnosis being crucial for improved patient outcomes. Dermoscopy and artificial intelligence (AI) hold promise in enhancing diagnostic a …
BACKGROUND: Skin cancer is a prevalent and clinically significant condition, with early and accurate diagnosis b …
AI-boosted and motion-corrected, wireless near-infrared sensing system for continuously monitoring laryngeal muscles.
Liu Y, Putcha A, Lyda G, Peng N, Pai S, Nguyen T, Xing S, Peng S, Fan Y, Wu Y, Xie W, Bai W. Liu Y, et al. Proc Natl Acad Sci U S A. 2024 Dec 17;121(51):e2410750121. doi: 10.1073/pnas.2410750121. Epub 2024 Dec 9. Proc Natl Acad Sci U S A. 2024. PMID: 39652765
Existing devices detect muscular motions either indirectly from mechanoacoustic signatures on skin surface or via ultrasound waves that demand specialized skin adhesion. Here, we report a wireless wearable system, Laryngeal Health Monitor (LaHMo), designed to be con …
Existing devices detect muscular motions either indirectly from mechanoacoustic signatures on skin surface or via ultrasound waves th …
Effect of patient-contextual skin images in human- and artificial intelligence-based diagnosis of melanoma: Results from the 2020 SIIM-ISIC melanoma classification challenge.
Kurtansky NR, Primiero CA, Betz-Stablein B, Combalia M, Guitera P, Halpern A, Kentley J, Kittler H, Liopyris K, Malvehy J, Rinner C, Tschandl P, Weber J, Rotemberg V, Soyer HP. Kurtansky NR, et al. J Eur Acad Dermatol Venereol. 2024 Dec 8. doi: 10.1111/jdv.20479. Online ahead of print. J Eur Acad Dermatol Venereol. 2024. PMID: 39648687
BACKGROUND: While the high accuracy of reported AI tools for melanoma detection is promising, the lack of holistic consideration of the patient is often criticized. ...CONCLUSION: This study provided an open-source state-of-the-art algorithm for melanoma detection t …
BACKGROUND: While the high accuracy of reported AI tools for melanoma detection is promising, the lack of holistic consideration of t …
Evaluating the effectiveness of ChatGPT4 in the diagnosis and workup of dermatologic conditions.
Greif C, Mpunga N, Koopman IV, Pye A, Hivnor CM, Owen JL. Greif C, et al. Dermatol Online J. 2024 Aug 15;30(4). doi: 10.5070/D330464104. Dermatol Online J. 2024. PMID: 39644465 Free article.
ChatGPT4 was better at determining an appropriate workup than an accurate diagnosis.Keywords: artificial intelligence, ChatGPT, dermatology, diagnosis, OpenAI, workup....
ChatGPT4 was better at determining an appropriate workup than an accurate diagnosis.Keywords: artificial intelligence, …
Toward Stretchable Flexible Integrated Sensor Systems.
Cui S, Han D, Chen G, Liu S, Xu Y, Yu Y, Peng L. Cui S, et al. ACS Appl Mater Interfaces. 2024 Dec 7. doi: 10.1021/acsami.4c12429. Online ahead of print. ACS Appl Mater Interfaces. 2024. PMID: 39644227 Review.
Skin-like flexible sensors hold great potential as the next generation of intelligent electronic devices owing to their broad applications in environmental monitoring, human-machine interfaces, the Internet of Things, and artificial intelligence. ...Furthermo …
Skin-like flexible sensors hold great potential as the next generation of intelligent electronic devices owing to their broad applica …
Dual scale light weight cross attention transformer for skin lesion classification.
Yadav DP, Sharma B, Chauhan S, Webber JL, Mehbodniya A. Yadav DP, et al. PLoS One. 2024 Dec 6;19(12):e0312598. doi: 10.1371/journal.pone.0312598. eCollection 2024. PLoS One. 2024. PMID: 39642171 Free PMC article.
Skin cancer is rapidly growing globally. In the past decade, an automated diagnosis system has been developed using image processing and machine learning. ...Recently, a convolution neural network (CNN) was applied to dermoscopic images to diagnose skin …
Skin cancer is rapidly growing globally. In the past decade, an automated diagnosis system has been developed using ima …
Artificial intelligence-enabled non-invasive ubiquitous anemia screening: The HEMO-AI pilot study on pediatric population.
Gordon D, Hoffman J, Gamrasni K, Barlev Y, Levine A, Landau T, Shpiegel R, Lahad A, Koren A, Levin C, Naor O, Lee H, Liu X, Patel S, Chayen G, Brandwein M. Gordon D, et al. Digit Health. 2024 Dec 5;10:20552076241297057. doi: 10.1177/20552076241297057. eCollection 2024 Jan-Dec. Digit Health. 2024. PMID: 39640961 Free PMC article.
METHODS: HEMO-AI (Hemoglobin Easy Measurement by Optical Artificial Intelligence), a clinical study carried out from December 2020 to February 2023, recruited patients from the Pediatric Emergency Department, Pediatric Inpatient Department and Pediatric Hematology U …
METHODS: HEMO-AI (Hemoglobin Easy Measurement by Optical Artificial Intelligence), a clinical study carried out from December …
Hybrid deep learning-based skin cancer classification with RPO-SegNet for skin lesion segmentation.
Pandurangan V, Sarojam SP, Narayanan P, Velayutham M. Pandurangan V, et al. Network. 2024 Dec 3:1-28. doi: 10.1080/0954898X.2024.2428705. Online ahead of print. Network. 2024. PMID: 39628058
The number of people with skin cancer is increasing worldwide. Accurate and timely skin cancer identification is critical to reduce the mortality rates. An incorrect diagnosis can be fatal to the patient. To tackle these issues, this article pro …
The number of people with skin cancer is increasing worldwide. Accurate and timely skin cancer identification is …
Spatial cell graph analysis reveals skin tissue organization characteristic for cutaneous T cell lymphoma.
Sarkar S, Möller A, Hartebrodt A, Erdmann M, Ostalecki C, Baur A, Blumenthal DB. Sarkar S, et al. NPJ Syst Biol Appl. 2024 Dec 2;10(1):143. doi: 10.1038/s41540-024-00474-x. NPJ Syst Biol Appl. 2024. PMID: 39622929 Free PMC article.
Cutaneous T-cell lymphomas (CTCLs) are non-Hodgkin lymphomas caused by malignant T cells which migrate to the skin and lead to rash-like lesions which can be difficult to distinguish from inflammatory skin conditions like atopic dermatitis (AD) and psoriasis (PSO). …
Cutaneous T-cell lymphomas (CTCLs) are non-Hodgkin lymphomas caused by malignant T cells which migrate to the skin and lead to rash-l …
Integration of a lightweight and table-mounted robotic alignment tool with automated patient-to-image registration using robotic cone-beam CT for intracranial biopsies and stereotactic electroencephalography.
Truckenmueller P, Früh A, Kissner JF, Moser NK, Misch M, Faust K, Onken J, Vajkoczy P, Xu R. Truckenmueller P, et al. Neurosurg Focus. 2024 Dec 1;57(6):E2. doi: 10.3171/2024.9.FOCUS24525. Neurosurg Focus. 2024. PMID: 39616638
The mean surgical times were 117 34 minutes for biopsy and 269 54 minutes for sEEG in the Cirq group, with skin-to-skin times of 40 23 minutes for biopsy and 208 74 minutes for sEEG; in comparison, surgical times of 78 21 minutes for biopsy and 218 33 minutes for sE …
The mean surgical times were 117 34 minutes for biopsy and 269 54 minutes for sEEG in the Cirq group, with skin-to-skin times …
Classification of melanoma skin Cancer based on Image Data Set using different neural networks.
Sabir R, Mehmood T. Sabir R, et al. Sci Rep. 2024 Nov 29;14(1):29704. doi: 10.1038/s41598-024-75143-4. Sci Rep. 2024. PMID: 39613788 Free PMC article.
Our objectives encompass presenting and evaluating these models based on established practices in medical image diagnosis. Additionally, we aim to demonstrate their effectiveness in contributing to the critical task of saving lives through early and accurate melanom …
Our objectives encompass presenting and evaluating these models based on established practices in medical image diagnosis. Additional …
DERM12345: A Large, Multisource Dermatoscopic Skin Lesion Dataset with 40 Subclasses.
Yilmaz A, Yasar SP, Gencoglan G, Temelkuran B. Yilmaz A, et al. Sci Data. 2024 Nov 28;11(1):1302. doi: 10.1038/s41597-024-04104-3. Sci Data. 2024. PMID: 39609462 Free PMC article.
Skin lesion datasets provide essential information for understanding various skin conditions and developing effective diagnostic tools. They aid the artificial intelligence-based early detection of skin cancer, facilitate tr …
Skin lesion datasets provide essential information for understanding various skin conditions and developing effective diagnost …
Double-Condensing Attention Condenser: Leveraging Attention in Deep Learning to Detect Skin Cancer from Skin Lesion Images.
Tai CA, Janes E, Czarnecki C, Wong A. Tai CA, et al. Sensors (Basel). 2024 Nov 12;24(22):7231. doi: 10.3390/s24227231. Sensors (Basel). 2024. PMID: 39599008 Free PMC article.
Skin cancer is the most common type of cancer in the United States and is estimated to affect one in five Americans. ...This paper explores leveraging an efficient self-attention structure to detect skin cancer in skin lesion images and i …
Skin cancer is the most common type of cancer in the United States and is estimated to affect one in five Americans. .. …
A Unified Multi-Task Learning Model with Joint Reverse Optimization for Simultaneous Skin Lesion Segmentation and Diagnosis.
Al-Masni MA, Al-Shamiri AK, Hussain D, Gu YH. Al-Masni MA, et al. Bioengineering (Basel). 2024 Nov 20;11(11):1173. doi: 10.3390/bioengineering11111173. Bioengineering (Basel). 2024. PMID: 39593832 Free PMC article.
Classifying and segmenting skin cancer represent pivotal objectives for automated diagnostic systems that utilize dermoscopy images. ...The effectiveness of the proposed method was assessed using two publicly available datasets, ISIC 2016 and PH(2), which included m …
Classifying and segmenting skin cancer represent pivotal objectives for automated diagnostic systems that utilize dermoscopy i …
Skin Cancer Image Classification Using Artificial Intelligence Strategies: A Systematic Review.
Vardasca R, Mendes JG, Magalhaes C. Vardasca R, et al. J Imaging. 2024 Oct 22;10(11):265. doi: 10.3390/jimaging10110265. J Imaging. 2024. PMID: 39590729 Free PMC article. Review.
Several non-invasive imaging modalities, e.g., confocal scanning laser microscopy or multiphoton laser scanning microscopy, have been explored for skin cancer assessment, which have been aligned with different artificial intelligence (AI) strategies to …
Several non-invasive imaging modalities, e.g., confocal scanning laser microscopy or multiphoton laser scanning microscopy, have been explor …
AFCF-Net: A novel U-Net based asymmetric feature calibration and fusion network for skin lesion image segmentation.
Ji Z, Yu Z, Liu C, Wang Z, Hao S, Ganchev I. Ji Z, et al. PLoS One. 2024 Nov 25;19(11):e0314000. doi: 10.1371/journal.pone.0314000. eCollection 2024. PLoS One. 2024. PMID: 39585871 Free PMC article.
Skin lesion segmentation plays a pivotal role in the diagnosis and treatment of skin diseases. ...To address this issue, a novel network, named AFCF-Net, is proposed in this paper for skin lesion segmentation tasks. Firstly, the proposed network employ …
Skin lesion segmentation plays a pivotal role in the diagnosis and treatment of skin diseases. ...To address this issue …
Enhancing Epstein-Barr virus detection in IBD patients with XAI and clinical data integration.
Wang Z, Chen Y, Wu Y, Xue Y, Lin K, Zhang J, Xiao Y. Wang Z, et al. Comput Biol Med. 2025 Jan;184:109465. doi: 10.1016/j.compbiomed.2024.109465. Epub 2024 Nov 22. Comput Biol Med. 2025. PMID: 39579664
Additionally, the generated salience maps effectively identified key regions in the images, enhancing lesion detection in patients with EBV infection. Our correlational analysis revealed significant associations between EBV infection and clinical parameters such as age, il …
Additionally, the generated salience maps effectively identified key regions in the images, enhancing lesion detection in patients wi …
Macro vs Micro Skin Imaging: Finding an Affordable Approach for Dermatological Care Access in Rural/Remote Areas.
Gudiu AV, Stoicu-Tivadar L. Gudiu AV, et al. Stud Health Technol Inform. 2024 Nov 22;321:134-138. doi: 10.3233/SHTI241078. Stud Health Technol Inform. 2024. PMID: 39575795
The present study explored alternative methods for photographing skin lesions in the absence of specialized instruments like dermatoscopes, aiming to enhance remote diagnostic capabilities, particularly in light of the increasing incidence of melanoma cases annually. ...
The present study explored alternative methods for photographing skin lesions in the absence of specialized instruments like dermatos …
Early-Stage Melanoma Cancer Diagnosis Framework for Imbalanced Data From Dermoscopic Images.
Khan AR, Mujahid M, Alamri FS, Saba T, Ayesha N. Khan AR, et al. Microsc Res Tech. 2024 Nov 21. doi: 10.1002/jemt.24736. Online ahead of print. Microsc Res Tech. 2024. PMID: 39573895
However, the dearth of qualified expertise increases the processing time and cost of diagnosis. Early detection of melanoma in dermoscopy images significantly enhances its chance of survival. ...During studies, medical professionals will employ the proposed m …
However, the dearth of qualified expertise increases the processing time and cost of diagnosis. Early detection of mela …
Enhanced MobileNet for skin cancer image classification with fused spatial channel attention mechanism.
Cheng H, Lian J, Jiao W. Cheng H, et al. Sci Rep. 2024 Nov 21;14(1):28850. doi: 10.1038/s41598-024-80087-w. Sci Rep. 2024. PMID: 39572649 Free PMC article.
Accurate detection of skin cancer in its early stage can significantly raise the survival rate of patients and reduce the burden on public health. Currently, the diagnosis of skin cancer relies heavily on human visual system for …
Accurate detection of skin cancer in its early stage can significantly raise the survival rate of patients and r …
De novo Design of Biocompatible Nanomaterials Using Quasi-SMILES and Recurrent Neural Networks.
He Y, Liu F, Min W, Liu G, Wu Y, Wang Y, Yan X, Yan B. He Y, et al. ACS Appl Mater Interfaces. 2024 Dec 4;16(48):66367-66376. doi: 10.1021/acsami.4c15600. Epub 2024 Nov 20. ACS Appl Mater Interfaces. 2024. PMID: 39567202
Screening nanomaterials (NMs) with desired properties from the extensive chemical space presents significant challenges. ...Our approach advances the application of artificial intelligence in NM design and provides a practical solution for balancing functiona …
Screening nanomaterials (NMs) with desired properties from the extensive chemical space presents significant challenges. ...Our appro …
Creating an Empirical Dermatology Dataset Through Crowdsourcing With Web Search Advertisements.
Ward A, Li J, Wang J, Lakshminarasimhan S, Carrick A, Campana B, Hartford J, Sreenivasaiah PK, Tiyasirisokchai T, Virmani S, Wong R, Matias Y, Corrado GS, Webster DR, Smith MA, Siegel D, Lin S, Ko J, Karthikesalingam A, Semturs C, Rao P. Ward A, et al. JAMA Netw Open. 2024 Nov 4;7(11):e2446615. doi: 10.1001/jamanetworkopen.2024.46615. JAMA Netw Open. 2024. PMID: 39565619 Free PMC article.
IMPORTANCE: Health datasets from clinical sources do not reflect the breadth and diversity of disease, impacting research, medical education, and artificial intelligence tool development. Assessments of novel crowdsourcing methods to create health datasets are neede …
IMPORTANCE: Health datasets from clinical sources do not reflect the breadth and diversity of disease, impacting research, medical education …
Advancing dermoscopy through a synthetic hair benchmark dataset and deep learning-based hair removal.
Jütte L, Patel H, Roth B. Jütte L, et al. J Biomed Opt. 2024 Nov;29(11):116003. doi: 10.1117/1.JBO.29.11.116003. Epub 2024 Nov 19. J Biomed Opt. 2024. PMID: 39564076 Free PMC article.
SIGNIFICANCE: Early detection of melanoma is crucial for improving patient outcomes, and dermoscopy is a critical tool for this purpose. ...By effectively removing hair from dermoscopic images while preserving lesion details, our approach enhances diagnostic accurac …
SIGNIFICANCE: Early detection of melanoma is crucial for improving patient outcomes, and dermoscopy is a critical tool for thi …
Identification and validation of interferon-stimulated gene 15 as a biomarker for dermatomyositis by integrated bioinformatics analysis and machine learning.
Wang X, Hu H, Yan G, Zheng B, Luo J, Fan J. Wang X, et al. Front Immunol. 2024 Nov 4;15:1429817. doi: 10.3389/fimmu.2024.1429817. eCollection 2024. Front Immunol. 2024. PMID: 39559355 Free PMC article.
BACKGROUND: Dermatomyositis (DM) is an autoimmune disease that primarily affects the skin and muscles. It can lead to increased mortality, particularly when patients develop associated malignancies or experience fatal complications such as pulmonary fibrosis. Identifying r …
BACKGROUND: Dermatomyositis (DM) is an autoimmune disease that primarily affects the skin and muscles. It can lead to increased morta …
LSSF-Net: Lightweight segmentation with self-awareness, spatial attention, and focal modulation.
Farooq H, Zafar Z, Saadat A, Khan TM, Iqbal S, Razzak I. Farooq H, et al. Artif Intell Med. 2024 Dec;158:103012. doi: 10.1016/j.artmed.2024.103012. Epub 2024 Nov 12. Artif Intell Med. 2024. PMID: 39547075
Accurate segmentation of skin lesions within dermoscopic images plays a crucial role in the timely identification of skin cancer for computer-aided diagnosis on mobile platforms. However, varying shapes of the lesions, lack of defined edges, and the pr …
Accurate segmentation of skin lesions within dermoscopic images plays a crucial role in the timely identification of skin c …
Transforming Skin Cancer Diagnosis: A Deep Learning Approach with the Ham10000 Dataset.
T PA, G S, T V, Selvan V P. T PA, et al. Cancer Invest. 2024 Nov;42(10):801-814. doi: 10.1080/07357907.2024.2422602. Epub 2024 Nov 10. Cancer Invest. 2024. PMID: 39523747
Skin cancer (SC) is one of the three most common cancers worldwide. Melanoma has the deadliest potential to spread to other parts of the body among all SCs. For SC treatments to be effective, early detection is essential. The high degree of similarity …
Skin cancer (SC) is one of the three most common cancers worldwide. Melanoma has the deadliest potential to spread to other pa …
Clinical Utility of a Digital Dermoscopy Image-Based Artificial Intelligence Device in the Diagnosis and Management of Skin Cancer by Dermatologists.
Witkowski AM, Burshtein J, Christopher M, Cockerell C, Correa L, Cotter D, Ellis DL, Farberg AS, Grant-Kels JM, Greiling TM, Grichnik JM, Leachman SA, Linfante A, Marghoob A, Marks E, Nguyen K, Ortega-Loayza AG, Paragh G, Pellacani G, Rabinovitz H, Rigel D, Siegel DM, Song EJ, Swanson D, Trask D, Ludzik J. Witkowski AM, et al. Cancers (Basel). 2024 Oct 24;16(21):3592. doi: 10.3390/cancers16213592. Cancers (Basel). 2024. PMID: 39518033 Free PMC article.
OBJECTIVE: To evaluate the clinical utility of a digital dermoscopy image-based artificial intelligence algorithm (DDI-AI device) on the diagnosis and management of skin cancers by dermatologists. ...CONCLUSION: The use of the DDI-AI device may quickly …
OBJECTIVE: To evaluate the clinical utility of a digital dermoscopy image-based artificial intelligence algorithm (DDI-AI devi …
Artificial intelligence-enhanced infrared thermography as a diagnostic tool for thyroid malignancy detection.
Chantasartrassamee P, Ongphiphadhanakul B, Suvikapakornkul R, Binsirawanich P, Sriphrapradang C. Chantasartrassamee P, et al. Ann Med. 2024 Dec;56(1):2425826. doi: 10.1080/07853890.2024.2425826. Epub 2024 Nov 8. Ann Med. 2024. PMID: 39512175 Free PMC article.
Increased intranodular vascularity is frequently observed in malignant tumors, which can be detected through increased skin surface temperatures using noninvasive infrared thermography. We aimed to develop a diagnostic tool for thyroid cancer using infrared thermal …
Increased intranodular vascularity is frequently observed in malignant tumors, which can be detected through increased skin surface t …
Enhanced convolutional neural network architecture optimized by improved chameleon swarm algorithm for melanoma detection using dermatological images.
Wu W, Wen L, Yuan S, Lu X, Yang J, Sofla AR. Wu W, et al. Sci Rep. 2024 Nov 6;14(1):26903. doi: 10.1038/s41598-024-77585-2. Sci Rep. 2024. PMID: 39505992 Free PMC article.
Early detection and treatment of skin cancer are important for patient recovery and survival. ...Simulation results demonstrate the efficacy of the proposed method in accurately diagnosing melanoma from dermoscopy images by highlighting its potential a …
Early detection and treatment of skin cancer are important for patient recovery and survival. ...Simulation resu …
Expert opinion elicitation for assisting deep learning based Lyme disease classifier with patient data.
Hossain SI, de Goër de Herve J, Abrial D, Emilion R, Lebert I, Frendo Y, Martineau D, Lesens O, Mephu Nguifo E. Hossain SI, et al. Int J Med Inform. 2025 Jan;193:105682. doi: 10.1016/j.ijmedinf.2024.105682. Epub 2024 Oct 31. Int J Med Inform. 2025. PMID: 39504916 Free article.
BACKGROUND: Diagnosing erythema migrans (EM) skin lesion, the most common early symptom of Lyme disease, using deep learning techniques can be effective to prevent long-term complications. ...Doctors rely on patient information about the background of the skin …
BACKGROUND: Diagnosing erythema migrans (EM) skin lesion, the most common early symptom of Lyme disease, using deep learning t …
Ethical implications of artificial intelligence in skin cancer diagnostics: use-case analyses.
Shah SFH, Arecco D, Draper H, Tiribelli S, Harriss E, Matin RN. Shah SFH, et al. Br J Dermatol. 2024 Nov 6:ljae434. doi: 10.1093/bjd/ljae434. Online ahead of print. Br J Dermatol. 2024. PMID: 39501748
BACKGROUND: Skin cancer is the most common cancer worldwide. Early diagnosis is crucial for improving patient survival and morbidity. Artificial intelligence (AI)-assisted smartphone applications (apps) for skin cancer …
BACKGROUND: Skin cancer is the most common cancer worldwide. Early diagnosis is crucial for improving pat …
E-Staining DermaRepo: H&E whole slide image staining dataset.
Asaf MZ, Salam AA, Khan S, Musolff N, Akram MU, Rao B. Asaf MZ, et al. Data Brief. 2024 Oct 5;57:110997. doi: 10.1016/j.dib.2024.110997. eCollection 2024 Dec. Data Brief. 2024. PMID: 39498153 Free PMC article.
In the era of artificial intelligence and machine learning, computer-aided diagnostic frameworks are data-hungry and require large amounts of annotated data to automate the disease diagnosis procedure. Moreover, to enhance the performance and accuracy of dise …
In the era of artificial intelligence and machine learning, computer-aided diagnostic frameworks are data-hungry and require l …
Leveraging convolutional neural networks and hashing techniques for the secure classification of monkeypox disease.
Abdellatef E, Ismail AH, Fath Allah MI, Shalaby WA. Abdellatef E, et al. Sci Rep. 2024 Nov 4;14(1):26579. doi: 10.1038/s41598-024-75030-y. Sci Rep. 2024. PMID: 39496621 Free PMC article.
It is difficult to diagnose monkeypox in its early stages because of its similarity with the symptoms of other diseases such as chicken pox and measles. Recently, computer-aided classification methods such as deep learning and machine learning within artificial i …
It is difficult to diagnose monkeypox in its early stages because of its similarity with the symptoms of other diseases such as chick …
CAD-PsorNet: deep transfer learning for computer-assisted diagnosis of skin psoriasis.
Chakraborty C, Achar U, Nayek S, Achar A, Mukherjee R. Chakraborty C, et al. Sci Rep. 2024 Nov 4;14(1):26557. doi: 10.1038/s41598-024-76852-6. Sci Rep. 2024. PMID: 39489752 Free PMC article.
Psoriasis, being a chronic, inflammatory, lifelong skin disorder, has become a major threat to the human population. The precise and effective diagnosis of psoriasis continues to be difficult for clinicians due to its varied nature. ...The convolutional layers adopt …
Psoriasis, being a chronic, inflammatory, lifelong skin disorder, has become a major threat to the human population. The precise and …
Machine learning accelerates the discovery of epitope-based dual-bioactive peptides against skin infections.
Fu L, Zheng X, Luo J, Zhang Y, Gao X, Jin L, Liu W, Zhang C, Gao D, Xu B, Jiang Q, Chou S, Luo L. Fu L, et al. Int J Antimicrob Agents. 2024 Dec;64(6):107371. doi: 10.1016/j.ijantimicag.2024.107371. Epub 2024 Oct 31. Int J Antimicrob Agents. 2024. PMID: 39486466 Free article.
OBJECTIVES: Skin injuries and infections are an inevitable part of daily human life, particularly with chronic wounds, becoming an increasing socioeconomic burden. ...METHODS: We developed a computer-assisted mining pipeline to screen potential peptides from the epi …
OBJECTIVES: Skin injuries and infections are an inevitable part of daily human life, particularly with chronic wounds, becoming an in …
What Do People Want from an AI-Assisted Screening App for Sexually Transmitted Infection-Related Anogenital Lesions: A Discrete Choice Experiment.
Soe NN, Latt PM, King A, Lee D, Phillips TR, Fairley CK, Zhang L, Ong JJ. Soe NN, et al. Patient. 2024 Nov 1. doi: 10.1007/s40271-024-00720-8. Online ahead of print. Patient. 2024. PMID: 39485672
Melbourne Sexual Health Centre (MSHC) has developed an AI-assisted screening application (app) called AiSTi for the detection of common STI-related anogenital skin conditions. ...CONCLUSIONS: Preferences for an AI-assisted screening app targeting STI-r …
Melbourne Sexual Health Centre (MSHC) has developed an AI-assisted screening application (app) called AiSTi for the detection …
Why robot embodiment matters: questions of disability, race and intersectionality in the design of social robots.
Paterson M. Paterson M. Med Humanit. 2025 Jan 2;50(4):694-704. doi: 10.1136/medhum-2024-013028. Med Humanit. 2025. PMID: 39467645
Outside of Japan, most robots are designed with white synthetic skin and able-bodied features, failing to reflect the diverse users they are meant to assist. ...A key historical moment in the production of the engineered imaginary of artificial humans is provided by …
Outside of Japan, most robots are designed with white synthetic skin and able-bodied features, failing to reflect the diverse users t …
Influence of hair presence on dermoscopic image analysis by AI in skin lesion diagnosis.
Wang Z, Xue Y, Xi H, Tan X, Lin K, Wang C, Zhang J. Wang Z, et al. Comput Biol Med. 2024 Dec;183:109335. doi: 10.1016/j.compbiomed.2024.109335. Epub 2024 Oct 28. Comput Biol Med. 2024. PMID: 39467376
The escalating rates of melanoma and non-melanoma skin cancers highlight the urgent need for enhanced diagnostic tools. This study evaluates the effect of hair presence in dermoscopic images on AI-driven skin lesion recognition, using 10,015 images from the HAM10000 …
The escalating rates of melanoma and non-melanoma skin cancers highlight the urgent need for enhanced diagnostic tools. This study ev …
Deep Learning With Optical Coherence Tomography for Melanoma Identification and Risk Prediction.
Lai PY, Shih TY, Chang YH, Chang CH, Kuo WC. Lai PY, et al. J Biophotonics. 2025 Jan;18(1):e202400277. doi: 10.1002/jbio.202400277. Epub 2024 Oct 27. J Biophotonics. 2025. PMID: 39462483 Free PMC article.
Malignant melanoma is the most severe skin cancer with a rising incidence rate. Several noninvasive image techniques and computer-aided diagnosis systems have been developed to help find melanoma in its early stages. ...The CNN classifies melanoma and …
Malignant melanoma is the most severe skin cancer with a rising incidence rate. Several noninvasive image techniques and compu …
A Multi-level ensemble approach for skin lesion classification using Customized Transfer Learning with Triple Attention.
Efat AH, Hasan SMM, Uddin MP, Mamun MA. Efat AH, et al. PLoS One. 2024 Oct 24;19(10):e0309430. doi: 10.1371/journal.pone.0309430. eCollection 2024. PLoS One. 2024. PMID: 39446759 Free PMC article.
Skin lesions encompass a variety of skin abnormalities, including skin diseases that affect structure and function, and skin cancer, which can be fatal and arise from abnormal cell growth. ...Our study enhances both accuracy and interpretability …
Skin lesions encompass a variety of skin abnormalities, including skin diseases that affect structure and function, and …
Lightweight skin cancer detection IP hardware implementation using cycle expansion and optimal computation arrays methods.
Li Q, Zhang Y, Wang L, Zhang H, Wang P, Gu M, Xu S. Li Q, et al. Comput Biol Med. 2024 Dec;183:109258. doi: 10.1016/j.compbiomed.2024.109258. Epub 2024 Oct 23. Comput Biol Med. 2024. PMID: 39442440
Skin cancer is recognized as one of the most perilous diseases globally. In the field of medical image classification, precise identification of early-stage skin lesions is imperative for accurate diagnosis. ...We are the first to implement an a …
Skin cancer is recognized as one of the most perilous diseases globally. In the field of medical image classification, precise …
Artificial intelligence in assisting pathogenic microorganism diagnosis and treatment: a review of infectious skin diseases.
Han R, Fan X, Ren S, Niu X. Han R, et al. Front Microbiol. 2024 Oct 8;15:1467113. doi: 10.3389/fmicb.2024.1467113. eCollection 2024. Front Microbiol. 2024. PMID: 39439939 Free PMC article. Review.
Therefore, the rapid diagnosis of related skin lesions is of utmost importance for early treatment and intervention of infectious diseases. ...In this review, we provide a detailed overview of the application of artificial intelligence in ski …
Therefore, the rapid diagnosis of related skin lesions is of utmost importance for early treatment and intervention of …
Hidden Links Between Skin Microbiome and Skin Imaging Phenome.
Cheng M, Zhou H, Zhang H, Zhang X, Zhang S, Bai H, Zha Y, Luo D, Chen D, Chen S, Ning K, Liu W. Cheng M, et al. Genomics Proteomics Bioinformatics. 2024 Oct 15;22(4):qzae040. doi: 10.1093/gpbjnl/qzae040. Genomics Proteomics Bioinformatics. 2024. PMID: 39436239 Free article.
Despite the skin microbiome has been linked to skin health and diseases, its role in modulating human skin appearance remains understudied. ...This pioneering study unveils the paradigm for the hidden links between skin microbiome and skin imagi …
Despite the skin microbiome has been linked to skin health and diseases, its role in modulating human skin appearance r …
Prediction of lumpy skin disease virus using customized CBAM-DenseNet-attention model.
Mujahid M, Khurshaid T, Safran M, Alfarhood S, Ashraf I. Mujahid M, et al. BMC Infect Dis. 2024 Oct 19;24(1):1181. doi: 10.1186/s12879-024-10032-9. BMC Infect Dis. 2024. PMID: 39427155 Free PMC article.
Lumpy skin disease virus (LSDV) is an extremely infectious, viral, and chronic skin disease that is caused by the Capripox virus. ...Thousands of cows have died due to this infectious virus in Pakistan and early detection of LSDV is needed to avoid fur …
Lumpy skin disease virus (LSDV) is an extremely infectious, viral, and chronic skin disease that is caused by the Capripox vir …
Integrating generative AI with ABCDE rule analysis for enhanced skin cancer diagnosis, dermatologist training and patient education.
Jütte L, González-Villà S, Quintana J, Steven M, Garcia R, Roth B. Jütte L, et al. Front Med (Lausanne). 2024 Oct 3;11:1445318. doi: 10.3389/fmed.2024.1445318. eCollection 2024. Front Med (Lausanne). 2024. PMID: 39421873 Free PMC article.
SIGNIFICANCE: The early detection and accurate monitoring of suspicious skin lesions are critical for effective dermatological diagnosis and treatment, particularly for reliable identification of the progression of nevi to melanoma. ...CONCLUSION: The …
SIGNIFICANCE: The early detection and accurate monitoring of suspicious skin lesions are critical for effective dermato …
Application of machine learning based genome sequence analysis in pathogen identification.
Gao Y, Liu M. Gao Y, et al. Front Microbiol. 2024 Oct 2;15:1474078. doi: 10.3389/fmicb.2024.1474078. eCollection 2024. Front Microbiol. 2024. PMID: 39417073 Free PMC article. Review.
With the development of computer technology and the continuous exploration of artificial intelligence(AI)applications in the biomedical field, the automatic morphological recognition and image processing of microbial images under microscopes have advanced rapidly. . …
With the development of computer technology and the continuous exploration of artificial intelligence(AI)applications in the b …
AI fusion of multisource data identifies key features of vitiligo.
Wang Z, Xue Y, Liu Z, Wang C, Xiong K, Lin K, Ou J, Zhang J. Wang Z, et al. Sci Rep. 2024 Oct 16;14(1):24278. doi: 10.1038/s41598-024-75062-4. Sci Rep. 2024. PMID: 39414917 Free PMC article.
Vitiligo is a skin disorder that is associated with a decreased risk of skin cancer, but it can lead to increased susceptibility to sunburn, psychological distress, and disruptions in daily life, consists of two primary subtypes: segmental and nonsegmental vi …
Vitiligo is a skin disorder that is associated with a decreased risk of skin cancer, but it can lead to increased susce …
Early cancer detection using deep learning and medical imaging: A survey.
Ahmad I, Alqurashi F. Ahmad I, et al. Crit Rev Oncol Hematol. 2024 Dec;204:104528. doi: 10.1016/j.critrevonc.2024.104528. Epub 2024 Oct 15. Crit Rev Oncol Hematol. 2024. PMID: 39413940 Free article. Review.
Cancer, characterized by the uncontrolled division of abnormal cells that harm body tissues, necessitates early detection for effective treatment. ...Consequently, there is a critical need for an automated decision-making process to enhance cancer d …
Cancer, characterized by the uncontrolled division of abnormal cells that harm body tissues, necessitates early detection …
AI in Psoriatic Disease: Scoping Review.
Barlow R, Bewley A, Gkini MA. Barlow R, et al. JMIR Dermatol. 2024 Oct 16;7:e50451. doi: 10.2196/50451. JMIR Dermatol. 2024. PMID: 39413371 Free PMC article. Review.
BACKGROUND: Artificial intelligence (AI) has many applications in numerous medical fields, including dermatology. Although the majority of AI studies in dermatology focus on skin cancer, there is growing interest in the applicability of AI models in in …
BACKGROUND: Artificial intelligence (AI) has many applications in numerous medical fields, including dermatology. Although the …
2,142 results