Use of Deep Learning for Detailed Severity Characterization and Estimation of 5-Year Risk among Patients with Age-Related Macular Degeneration

JAMA Ophthalmology

Volumn 136, Issue 12, 2018, Pages 1359-1366

  Burlina, Philippe M ^a   Joshi, Neil ^a   Pacheco, Katia D ^b   Freund, David E ^a   Kong, Jun ^c   Bressler, Neil M ^d,e  

^a JOHNS HOPKINS UNIVERSITY APPLIED PHYSICS LABORATORY   (United States)

^b Retina Service   (Brazil)

^c CHINA MEDICAL UNIVERSITY   (China)

^d JOHNS HOPKINS UNIVERSITY   (United States)

^e JAMA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

AGE RELATED MACULAR DEGENERATION; ALGORITHM; ARTICLE; COLOR FUNDUS PHOTOGRAPHY; CONVOLUTIONAL NEURAL NETWORK; DEEP LEARNING; DIET SUPPLEMENTATION; DISEASE CLASSIFICATION; DISEASE RISK ASSESSMENT; DISEASE SEVERITY; DRUSEN; EYE PHOTOGRAPHY; FOLLOW UP; HUMAN; OPHTHALMOLOGIST; PREDICTION; RISK FACTOR; AGED; CLINICAL TRIAL; DIAGNOSTIC IMAGING; DISEASE EXACERBATION; EPIDEMIOLOGY; FEMALE; INCIDENCE; MACULAR DEGENERATION; MALE; MIDDLE AGED; MULTICENTER STUDY; PROCEDURES; REPRODUCIBILITY; RETINA MACULA LUTEA; RETROSPECTIVE STUDY; RISK ASSESSMENT; SEVERITY OF ILLNESS INDEX; TIME FACTOR; UNITED STATES; VISUAL SYSTEM EXAMINATION;

AGED; ALGORITHMS; DEEP LEARNING; DIAGNOSTIC TECHNIQUES, OPHTHALMOLOGICAL; DISEASE PROGRESSION; FEMALE; FOLLOW-UP STUDIES; HUMANS; INCIDENCE; MACULA LUTEA; MACULAR DEGENERATION; MALE; MIDDLE AGED; REPRODUCIBILITY OF RESULTS; RETROSPECTIVE STUDIES; RISK ASSESSMENT; RISK FACTORS; SEVERITY OF ILLNESS INDEX; TIME FACTORS; UNITED STATES;

EID: 85053659969     PISSN: 21686165     EISSN: 21686173     Source Type: Journal    
DOI: 10.1001/jamaophthalmol.2018.4118     Document Type: Article

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