Deep Learning-Based Prediction of Cardiopulmonary Disease in Retinal Images of Premature Infants.

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Bibliographic Details
Title: Deep Learning-Based Prediction of Cardiopulmonary Disease in Retinal Images of Premature Infants.
Authors: Singh P; Ophthalmology, University of Colorado School of Medicine, Aurora., Kumar S; Ophthalmology, University of Colorado School of Medicine, Aurora., Tyagi R; Radiology, MGH/Harvard Medical School, Charlestown, Massachusetts., Young BK; Ophthalmology, Oregon Health & Science University, Portland., Jordan BK; Division of Neonatology, Department of Pediatrics, Oregon Health & Science University, Portland., Scottoline B; Division of Neonatology, Department of Pediatrics, Oregon Health & Science University, Portland., Evers PD; Division of Pediatric Cardiology, Department of Pediatrics, Oregon Health & Science University, Portland., Ostmo S; Ophthalmology, Oregon Health & Science University, Portland., Coyner AS; Ophthalmology, Oregon Health & Science University, Portland., Lin WC; Ophthalmology, Oregon Health & Science University, Portland., Gupta A; Radiology, MGH/Harvard Medical School, Charlestown, Massachusetts., Erdogmus D; Electrical and Computer Engineering, Northeastern University, Boston, Massachusetts., Chan RVP; Ophthalmology and Visual Sciences, University of Illinois Chicago, Chicago, Illinois., McCourt EA; Ophthalmology, University of Colorado School of Medicine, Aurora., Barry JS; Department of Pediatrics, Section of Neonatology, University of Colorado School of Medicine, Aurora., McEvoy CT; Division of Neonatology, Department of Pediatrics, Oregon Health & Science University, Portland., Chiang MF; National Eye Institute, National Institutes of Health, Bethesda, Maryland.; National Library of Medicine, National Institutes of Health, Bethesda, Maryland., Campbell JP; Ophthalmology, Oregon Health & Science University, Portland., Kalpathy-Cramer J; Ophthalmology, University of Colorado School of Medicine, Aurora.
Source: JAMA ophthalmology [JAMA Ophthalmol] 2026 Mar 01; Vol. 144 (3), pp. 230-237.
Publication Type: Journal Article; Multicenter Study
Journal Info: Publisher: American Medical Association Country of Publication: United States NLM ID: 101589539 Publication Model: Print Cited Medium: Internet ISSN: 2168-6173 (Electronic) Linking ISSN: 21686165 NLM ISO Abbreviation: JAMA Ophthalmol Subsets: MEDLINE
Database: MEDLINE Ultimate
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