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The Ophthalmologist / Issues / 2026 / March / Retinal AI Predicts Neonatal Lung Disease
Health Economics and Policy Retina News

Retinal AI Predicts Neonatal Lung Disease

AI models trained on routine ROP images identify bronchopulmonary dysplasia and pulmonary hypertension in premature infants

3/16/2026 2 min read

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Top Institutions in Neonatology and Ophthalmology with focus on AI in Retinopathy of Prematurity and Neonatal Lung Disease

Institutions leading in neonatal intensive care, pediatric ophthalmology, and AI-driven medical imaging research, particularly those with established multicenter neonatal cohorts and expertise in retinopathy of prematurity and neonatal cardiopulmonary diseases, are best positioned to conduct and validate such predictive modeling studies.

  • #1

    Oregon Health & Science University

    Portland, OR

    OHSU is a leader in neonatal intensive care and pediatric ophthalmology research, notably housing the i-ROP consortium and providing critical echocardiography data for pulmonary hypertension diagnosis in premature infants, enabling advanced AI modeling in neonatal lung disease prediction.

    Key Differentiators

    • Neonatology
    • Pediatric Ophthalmology
    • Biomedical Informatics
  • #2

    Children's Hospital of Philadelphia

    Philadelphia, PA

    CHOP is internationally recognized for its neonatal intensive care unit and pioneering research in retinopathy of prematurity and AI applications in pediatric diseases, contributing to large-scale neonatal cohorts and advanced imaging analytics.

    Key Differentiators

    • Neonatology
    • Pediatric Ophthalmology
    • Clinical AI Research
  • #3

    Stanford University School of Medicine

    Stanford, CA

    Stanford excels in AI-driven biomedical research and has strong programs in neonatal care and ophthalmology, with a focus on developing deep learning models for early disease detection including systemic conditions inferred from retinal imaging.

    Key Differentiators

    • Biomedical Informatics
    • Neonatology
    • Ophthalmology
  • #4

    Massachusetts General Hospital / Harvard Medical School

    Boston, MA

    MGH and Harvard Medical School have robust neonatal and ophthalmology programs with a growing emphasis on AI applications in clinical diagnostics, including the use of retinal imaging biomarkers for systemic disease prediction in neonates.

    Key Differentiators

    • Neonatology
    • Ophthalmology
    • Artificial Intelligence in Medicine
  • #5

    Johns Hopkins University

    Baltimore, MD

    Johns Hopkins is renowned for its neonatal intensive care expertise and ophthalmology research, with active initiatives in applying AI to pediatric imaging and systemic disease prediction from ocular data.

    Key Differentiators

    • Neonatology
    • Ophthalmology
    • Medical Informatics

This content is an AI-generated, fully rewritten summary based on a published scholarly article. It does not reproduce the original text and is not a substitute for the original publication. Readers are encouraged to consult the source for full context, data, and methodology.

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