Retinal AI Predicts Neonatal Lung Disease
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March 16, 2026
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4 min
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Deep learning can predict bronchopulmonary dysplasia and pulmonary hypertension from retinal images.
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Study published in JAMA Ophthalmology.
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Utilized images from premature infants in the i-ROP study.
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Multimodal models outperformed single-factor models.
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AUC for pulmonary hypertension was 0.91 with imaging-only model.
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Findings generate hypotheses about retinal changes in disease.
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Limited by small cohort sizes and lack of external validation.
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Retinal imaging could support early identification of cardiopulmonary risks.