Prediction of individual disease conversion in early AMD using artificial intelligence

Investigative Ophthalmology and Visual Science

Volumn 59, Issue 8, 2018, Pages 3199-3208

  Schmidt Erfurth, Ursula ^a   Waldstein, Sebastian M ^a   Klimscha, Sophie ^a   Sadeghipour, Amir ^a   Hu, Xiaofeng ^a   Gerendas, Bianca S ^a   Osborne, Aaron ^b   Bogunović, Hrvoje ^a  

^a MEDICAL UNIVERSITY OF VIENNA   (Austria)

^b GENENTECH INC   (United States)

Author keywords

Age related macular degeneration; Artificial intelligence; Choroidal neovascularization; Machine learning; Optical coherence tomography

Indexed keywords

RANIBIZUMAB;

ADULT; AGE; AGE RELATED MACULAR DEGENERATION; AGED; ARTICLE; ARTIFICIAL INTELLIGENCE; CONTROLLED STUDY; DIAGNOSTIC ACCURACY; DIAGNOSTIC TEST ACCURACY STUDY; DISEASE EXACERBATION; DRUG EFFICACY; FEMALE; GEOGRAPHIC ATROPHY; HUMAN; IMAGE ANALYSIS; IMAGE SEGMENTATION; MACHINE LEARNING; MAJOR CLINICAL STUDY; MALE; MIDDLE AGED; NEUROSENSORY RETINA; OPTICAL COHERENCE TOMOGRAPHY; OUTER RETINAL THICKNESS; PATIENT SAFETY; PHASE 3 CLINICAL TRIAL; PRIORITY JOURNAL; RANDOMIZED CONTROLLED TRIAL; RECEIVER OPERATING CHARACTERISTIC; RETINAL PIGMENT EPITHELIUM; SENSITIVITY AND SPECIFICITY; SUBRETINAL NEOVASCULARIZATION; VERY ELDERLY; VISUAL SYSTEM PARAMETERS; CLINICAL TRIAL; COMPUTER ASSISTED DIAGNOSIS; DOUBLE BLIND PROCEDURE; DRUSEN; MULTICENTER STUDY; PROCEDURES; PROSPECTIVE STUDY; WET MACULAR DEGENERATION;

AGED; AGED, 80 AND OVER; ARTIFICIAL INTELLIGENCE; CHOROIDAL NEOVASCULARIZATION; DISEASE PROGRESSION; DOUBLE-BLIND METHOD; FEMALE; GEOGRAPHIC ATROPHY; HUMANS; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MACHINE LEARNING; MALE; MIDDLE AGED; PROSPECTIVE STUDIES; RETINAL DRUSEN; TOMOGRAPHY, OPTICAL COHERENCE; WET MACULAR DEGENERATION;

EID: 85049601936     PISSN: 01460404     EISSN: 15525783     Source Type: Journal    
DOI: 10.1167/iovs.18-24106     Document Type: Article

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