Deep learning for dermatologists: Part II. Current applications - 30/11/22
, Lisa A. Drage, MD b, c, Huma Shamim, MBBS b, c, Spencer A. Bezalel, MD b, c, Mark R. Pittelkow, MD b, e, Mark D.P. Davis, MD b, c, Michael Wang, MD f, Aaron R. Mangold, MD b, e, Megha M. Tollefson, MD b, c, Julia S. Lehman, MD b, c, d, Alexander Meves, MD b, c, James A. Yiannias, MD e, Clark C. Otley, MD b, c, Rickey E. Carter, PhD g, Olayemi Sokumbi, MD b, h, i, Matthew R. Hall, MD b, h, Alina G. Bridges, DO b, c, d, Dennis H. Murphree, PhD b, jAbstract |
Because of a convergence of the availability of large data sets, graphics-specific computer hardware, and important theoretical advancements, artificial intelligence has recently contributed to dramatic progress in medicine. One type of artificial intelligence known as deep learning has been particularly impactful for medical image analysis. Deep learning applications have shown promising results in dermatology and other specialties, including radiology, cardiology, and ophthalmology. The modern clinician will benefit from an understanding of the basic features of deep learning to effectively use new applications and to better gauge their utility and limitations. In this second article of a 2-part series, we review the existing and emerging clinical applications of deep learning in dermatology and discuss future opportunities and limitations. Part 1 of this series offered an introduction to the basic concepts of deep learning to facilitate effective communication between clinicians and technical experts.
El texto completo de este artículo está disponible en PDF.Key words : artificial intelligence, deep learning, dermatology, machine learning
Abbreviations used : AI, AUC, CNN, DNN, NN, ROC, WSI
Esquema
| Funding sources: None. |
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| Conflicts of interest: None disclosed. |
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| IRB approval status: Not applicable. |
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| Reprints not available from the authors. |
Vol 87 - N° 6
P. 1352-1360 - décembre 2022 Regresar al númeroBienvenido a EM-consulte, la referencia de los profesionales de la salud.
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