Deep Learning in Medicine—Promise, Progress, and Challenges
Author:
Affiliation:
1. Department of Healthcare Policy and Research, Weill Cornell Medicine, New York, New York
2. Department of Medicine, Weill Cornell Medicine, New York, New York
Publisher
American Medical Association (AMA)
Subject
Internal Medicine
Link
http:///jamainternalmedicine/article-pdf/179/3/293/17346537/jamainternal_wang_2018_vp_180022.pdf
Reference10 articles.
1. Big data and machine learning in health care.;Beam;JAMA,2018
2. Deep learning—a technology with the potential to transform health care.;Hinton;JAMA,2018
3. Clinical implications and challenges of artificial intelligence and deep learning.;Stead;JAMA,2018
4. Development and validation of a deep learning algorithm for detection of diabetic retinopathy in retinal fundus photographs.;Gulshan;JAMA,2016
5. Dermatologist-level classification of skin cancer with deep neural networks.;Esteva;Nature,2017
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