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 NCBI 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 319
2023 348
2024 174

Text availability

Article attribute

Article type

Publication date

Search Results

1,773 results

Results by year

Filters applied: . Clear all
Page 1
Artificial intelligence and machine learning algorithms for early detection of skin cancer in community and primary care settings: a systematic review.
Jones OT, Matin RN, van der Schaar M, Prathivadi Bhayankaram K, Ranmuthu CKI, Islam MS, Behiyat D, Boscott R, Calanzani N, Emery J, Williams HC, Walter FM. Jones OT, et al. Lancet Digit Health. 2022 Jun;4(6):e466-e476. doi: 10.1016/S2589-7500(22)00023-1. Lancet Digit Health. 2022. PMID: 35623799 Free article. Review.
Skin cancers occur commonly worldwide. The prognosis and disease burden are highly dependent on the cancer type and disease stage at diagnosis. We systematically reviewed studies on artificial intelligence and machine learning (AI/ML) algorithms …
Skin cancers occur commonly worldwide. The prognosis and disease burden are highly dependent on the cancer type and disease st …
Artificial Intelligence in Dermatology: A Primer.
Young AT, Xiong M, Pfau J, Keiser MJ, Wei ML. Young AT, et al. J Invest Dermatol. 2020 Aug;140(8):1504-1512. doi: 10.1016/j.jid.2020.02.026. Epub 2020 Mar 27. J Invest Dermatol. 2020. PMID: 32229141 Free article. Review.
Artificial intelligence is becoming increasingly important in dermatology, with studies reporting accuracy matching or exceeding dermatologists for the diagnosis of skin lesions from clinical and dermoscopic images. ...We review dermatological applicat …
Artificial intelligence is becoming increasingly important in dermatology, with studies reporting accuracy matching or exceedi …
What is AI? Applications of artificial intelligence to dermatology.
Du-Harpur X, Watt FM, Luscombe NM, Lynch MD. Du-Harpur X, et al. Br J Dermatol. 2020 Sep;183(3):423-430. doi: 10.1111/bjd.18880. Epub 2020 Mar 29. Br J Dermatol. 2020. PMID: 31960407 Free PMC article. Review.
However, in recent years, artificial intelligence (AI) has made enormous advances, particularly in the area of image classification. ...AI has the potential to assist in the diagnosis of skin lesions and may have particular value at the interface betwe …
However, in recent years, artificial intelligence (AI) has made enormous advances, particularly in the area of image classific …
Artificial intelligence in the detection of skin cancer.
Beltrami EJ, Brown AC, Salmon PJM, Leffell DJ, Ko JM, Grant-Kels JM. Beltrami EJ, et al. J Am Acad Dermatol. 2022 Dec;87(6):1336-1342. doi: 10.1016/j.jaad.2022.08.028. Epub 2022 Aug 23. J Am Acad Dermatol. 2022. PMID: 35998842 Review.
Recent advances in artificial intelligence (AI) in dermatology have demonstrated the potential to improve the accuracy of skin cancer detection. ...Dermatologists play a critical role in the responsible development and deployment of AI capabilit …
Recent advances in artificial intelligence (AI) in dermatology have demonstrated the potential to improve the accuracy of s …
Skin Cancer Detection: A Review Using Deep Learning Techniques.
Dildar M, Akram S, Irfan M, Khan HU, Ramzan M, Mahmood AR, Alsaiari SA, Saeed AHM, Alraddadi MO, Mahnashi MH. Dildar M, et al. Int J Environ Res Public Health. 2021 May 20;18(10):5479. doi: 10.3390/ijerph18105479. Int J Environ Res Public Health. 2021. PMID: 34065430 Free PMC article. Review.
Considering the seriousness of these issues, researchers have developed various early detection techniques for skin cancer. Lesion parameters such as symmetry, color, size, shape, etc. are used to detect skin cancer and to distinguish ben …
Considering the seriousness of these issues, researchers have developed various early detection techniques for skin …
Artificial Intelligence for Skin Cancer Detection: Scoping Review.
Takiddin A, Schneider J, Yang Y, Abd-Alrazaq A, Househ M. Takiddin A, et al. J Med Internet Res. 2021 Nov 24;23(11):e22934. doi: 10.2196/22934. J Med Internet Res. 2021. PMID: 34821566 Free PMC article. Review.
BACKGROUND: Skin cancer is the most common cancer type affecting humans. Traditional skin cancer diagnosis methods are costly, require a professional physician, and take time. Hence, to aid in diagnosing skin cancer, arti …
BACKGROUND: Skin cancer is the most common cancer type affecting humans. Traditional skin cancer diagn …
Explainable artificial intelligence in skin cancer recognition: A systematic review.
Hauser K, Kurz A, Haggenmüller S, Maron RC, von Kalle C, Utikal JS, Meier F, Hobelsberger S, Gellrich FF, Sergon M, Hauschild A, French LE, Heinzerling L, Schlager JG, Ghoreschi K, Schlaak M, Hilke FJ, Poch G, Kutzner H, Berking C, Heppt MV, Erdmann M, Haferkamp S, Schadendorf D, Sondermann W, Goebeler M, Schilling B, Kather JN, Fröhling S, Lipka DB, Hekler A, Krieghoff-Henning E, Brinker TJ. Hauser K, et al. Eur J Cancer. 2022 May;167:54-69. doi: 10.1016/j.ejca.2022.02.025. Epub 2022 Apr 5. Eur J Cancer. 2022. PMID: 35390650 Free article. Review.
We investigate how XAI is used for skin cancer detection: how is it used during the development of new DNNs? ...CONCLUSION: XAI is commonly applied during the development of DNNs for skin cancer detection. However, a systematic and rigoro …
We investigate how XAI is used for skin cancer detection: how is it used during the development of new DNNs? ...CONCLUS …
Radiomics Improves Cancer Screening and Early Detection.
Gillies RJ, Schabath MB. Gillies RJ, et al. Cancer Epidemiol Biomarkers Prev. 2020 Dec;29(12):2556-2567. doi: 10.1158/1055-9965.EPI-20-0075. Epub 2020 Sep 11. Cancer Epidemiol Biomarkers Prev. 2020. PMID: 32917666 Free article. Review.
Imaging is a key technology in the early detection of cancers, including X-ray mammography, low-dose CT for lung cancer, or optical imaging for skin, esophageal, or colorectal cancers. Historically, imaging information in early detection …
Imaging is a key technology in the early detection of cancers, including X-ray mammography, low-dose CT for lung cancer …
Legal and ethical considerations of artificial intelligence in skin cancer diagnosis.
Jobson D, Mar V, Freckelton I. Jobson D, et al. Australas J Dermatol. 2022 Feb;63(1):e1-e5. doi: 10.1111/ajd.13690. Epub 2021 Aug 18. Australas J Dermatol. 2022. PMID: 34407234 Review.
Artificial intelligence (AI) technology is becoming increasingly accurate and prevalent for the diagnosis of skin cancers. ...This review describes the legal and ethical considerations raised by the emergence of artificial intelligence in …
Artificial intelligence (AI) technology is becoming increasingly accurate and prevalent for the diagnosis of skin …
Improving Artificial Intelligence-Based Diagnosis on Pediatric Skin Lesions.
Mehta PP, Sun M, Betz-Stablein B, Halpern A, Soyer HP, Weber J, Kose K, Rotemberg V. Mehta PP, et al. J Invest Dermatol. 2023 Aug;143(8):1423-1429.e1. doi: 10.1016/j.jid.2022.08.058. Epub 2023 Feb 18. J Invest Dermatol. 2023. PMID: 36804150
Artificial intelligence algorithms to classify melanoma are dependent on their training data, which limits generalizability. The objective of this study was to compare the performance of an artificial intelligence model trained on a standard adult-pred …
Artificial intelligence algorithms to classify melanoma are dependent on their training data, which limits generalizability. T …
1,773 results