Deep Learning–Based Prediction of Cardiopulmonary Disease in Retinal Images of Premature Infants
Results suggest that retinal images obtained during ROP screening may be used to predict the diagnosis of BPD and PH in preterm infants, which may lead to earlier diagnosis and avoid the need for invasive diagnostic testing in the future.
Authors
- Emily A. McCourt
- Aarushi Gupta
- Praveer Singh (ORCID: https://orcid.org/0000-0001-6641-2030)
- Sourav Kumar (ORCID: https://orcid.org/0000-0003-0352-8989)
- Patrick D. Evers (ORCID: https://orcid.org/0000-0002-9299-1926)
- Brian P. Scottoline (ORCID: https://orcid.org/0000-0003-0207-9624)
- Deniz Edogmus
- B. Kay Young
- Cindy T. McEvoy
- James Barry
- Brian K. Jordan
- Susan Ostmo
- Riya Tyagi
- Jayashree Kalpathy-Cramer
- R V Paul Chan
- J Peter Campbell
- Wei-Chun Lin
- Aaron S Coyner
Institutions
- Northeastern University (US)
- National Institutes of Health (US)
- Harvard University (US)
- Oregon Health & Science University (US)
- United States National Library of Medicine (US)
- University of Illinois Chicago (US)
- National Eye Institute (US)
- University of Colorado Denver (US)
Publication Details
- Journal
- JAMA Ophthalmology
- Published
- 2026-01-22
- DOI
- https://doi.org/10.1001/jamaophthalmol.2025.5814
- Primary Topic
- Retinopathy of Prematurity Studies
- Type
- article
- Field-Weighted Citation Impact
- 0.00