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.
Le texte complet de cet article est disponible en PDF.Key words : artificial intelligence, deep learning, dermatology, machine learning
Abbreviations used : AI, AUC, CNN, DNN, NN, ROC, WSI
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Vol 87 - N° 6
P. 1352-1360 - décembre 2022 Retour au numéro
Article précédent
- Deep learning for dermatologists: Part I. Fundamental concepts
- Dennis H. Murphree, Pranav Puri, Huma Shamim, Spencer A. Bezalel, Lisa A. Drage, Michael Wang, Mark R. Pittelkow, Rickey E. Carter, Mark D.P. Davis, Alina G. Bridges, Aaron R. Mangold, James A. Yiannias, Megha M. Tollefson, Julia S. Lehman, Alexander Meves, Clark C. Otley, Olayemi Sokumbi, Matthew R. Hall, Nneka Comfere
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