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84,776 results

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Page 1
Artificial intelligence in medical imaging.
Gore JC. Gore JC. Magn Reson Imaging. 2020 May;68:A1-A4. doi: 10.1016/j.mri.2019.12.006. Epub 2019 Dec 16. Magn Reson Imaging. 2020. PMID: 31857130
The medical specialty radiology has experienced a number of extremely important and influential technical developments in the past that have affected how medical imaging is deployed. Artificial intelligence (AI) is potentially another such devel …
The medical specialty radiology has experienced a number of extremely important and influential technical developments in the past th …
Artificial intelligence in medical imaging: From task-specific models to large-scale foundation models.
Bian Y, Li J, Ye C, Jia X, Yang Q. Bian Y, et al. Chin Med J (Engl). 2025 Mar 20;138(6):651-663. doi: 10.1097/CM9.0000000000003489. Epub 2025 Feb 26. Chin Med J (Engl). 2025. PMID: 40008785 Free PMC article. Review.
Artificial intelligence (AI), particularly deep learning, has demonstrated remarkable performance in medical imaging across a variety of modalities, including X-ray, computed tomography (CT), magnetic resonance imaging (MRI), ultrasound, positro …
Artificial intelligence (AI), particularly deep learning, has demonstrated remarkable performance in medical imaging …
Artificial intelligence in medical imaging: implications for patient radiation safety.
Seah J, Brady Z, Ewert K, Law M. Seah J, et al. Br J Radiol. 2021 Oct 1;94(1126):20210406. doi: 10.1259/bjr.20210406. Epub 2021 Jun 23. Br J Radiol. 2021. PMID: 33989035 Free PMC article. Review.
Artificial intelligence, including deep learning, is currently revolutionising the field of medical imaging, with far reaching implications for almost every facet of diagnostic imaging, including patient radiation safety. This paper intro …
Artificial intelligence, including deep learning, is currently revolutionising the field of medical imaging, wit …
A Review of Artificial Intelligence in Breast Imaging.
Al-Karawi D, Al-Zaidi S, Helael KA, Obeidat N, Mouhsen AM, Ajam T, Alshalabi BA, Salman M, Ahmed MH. Al-Karawi D, et al. Tomography. 2024 May 9;10(5):705-726. doi: 10.3390/tomography10050055. Tomography. 2024. PMID: 38787015 Free PMC article. Review.
With the increasing dominance of artificial intelligence (AI) techniques, the important prospects for their application have extended to various medical fields, including domains such as in vitro diagnosis, intelligent rehabilitation, medical imagin …
With the increasing dominance of artificial intelligence (AI) techniques, the important prospects for their application have e …
Artificial intelligence in medical imaging: A radiomic guide to precision phenotyping of cardiovascular disease.
Oikonomou EK, Siddique M, Antoniades C. Oikonomou EK, et al. Cardiovasc Res. 2020 Nov 1;116(13):2040-2054. doi: 10.1093/cvr/cvaa021. Cardiovasc Res. 2020. PMID: 32090243 Free PMC article. Review.
Rapid technological advances in non-invasive imaging, coupled with the availability of large data sets and the expansion of computational models and power, have revolutionized the role of imaging in medicine. ...To date, cardiovascular imaging has lagged behi …
Rapid technological advances in non-invasive imaging, coupled with the availability of large data sets and the expansion of computati …
Evidence-Based Artificial Intelligence in Medical Imaging.
Streiner DL, Saboury B, Zukotynski KA. Streiner DL, et al. PET Clin. 2022 Jan;17(1):51-55. doi: 10.1016/j.cpet.2021.09.005. PET Clin. 2022. PMID: 34809869 Review.
Artificial intelligence (AI) in medical imaging is in its infancy. However, ongoing advances in hardware and software as well as increasing access to ever-expanding datasets for training, validation, and testing purposes are likely to make AI an increa …
Artificial intelligence (AI) in medical imaging is in its infancy. However, ongoing advances in hardware and sof …
Artificial Intelligence in Medical Imaging and its Impact on the Rare Disease Community: Threats, Challenges and Opportunities.
Hasani N, Farhadi F, Morris MA, Nikpanah M, Rhamim A, Xu Y, Pariser A, Collins MT, Summers RM, Jones E, Siegel E, Saboury B. Hasani N, et al. PET Clin. 2022 Jan;17(1):13-29. doi: 10.1016/j.cpet.2021.09.009. PET Clin. 2022. PMID: 34809862 Free PMC article. Review.
The average time to diagnosis for an RD patient is as high as 7 years. Artificial intelligence (AI)-based positron emission tomography (PET), if implemented appropriately, has tremendous potential to advance the diagnosis of RDs. ...Inability to do so leads to poten …
The average time to diagnosis for an RD patient is as high as 7 years. Artificial intelligence (AI)-based positron emission to …
Artificial intelligence in diagnostic imaging: impact on the radiography profession.
Hardy M, Harvey H. Hardy M, et al. Br J Radiol. 2020 Apr;93(1108):20190840. doi: 10.1259/bjr.20190840. Epub 2019 Dec 16. Br J Radiol. 2020. PMID: 31821024 Free PMC article. Review.
The arrival of artificially intelligent systems into the domain of medical imaging has focused attention and sparked much debate on the role and responsibilities of the radiologist. ...This paper discusses the potential impact of artificial intelligence …
The arrival of artificially intelligent systems into the domain of medical imaging has focused attention and sparked much deba …
Advances of Artificial Intelligence Application in Medical Imaging of Ovarian Cancers.
Chen X, Huo XF, Wu Z, Lu JJ. Chen X, et al. Chin Med Sci J. 2021 Sep 30;36(3):196-203. doi: 10.24920/003963. Chin Med Sci J. 2021. PMID: 34666872 Free article. Review.
In the past few years, many researchers have attempted to develop and apply artificial intelligence (AI) techniques to multiple clinical scenarios of ovarian cancer, especially in the field of medical imaging. AI-assisted imaging studies have in …
In the past few years, many researchers have attempted to develop and apply artificial intelligence (AI) techniques to multipl …
Current challenges of implementing artificial intelligence in medical imaging.
Saw SN, Ng KH. Saw SN, et al. Phys Med. 2022 Aug;100:12-17. doi: 10.1016/j.ejmp.2022.06.003. Epub 2022 Jun 14. Phys Med. 2022. PMID: 35714523 Review.
The idea of using artificial intelligence (AI) in medical practice has gained vast interest due to its potential to revolutionise healthcare systems. ...We identify four main challenges in implementing AI in medical imaging, supported with conse …
The idea of using artificial intelligence (AI) in medical practice has gained vast interest due to its potential to rev …
84,776 results
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