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Retinal AI Predicts Neonatal Lung Disease

Retinal scans already performed in the NICU could flag infants at risk for serious lung disease before standard diagnosis

  • By

  • mdspire news news staff

  • February 17, 2026

  • 4 min

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  • 1

    Deep learning models using retinal images can predict bronchopulmonary dysplasia and pulmonary hypertension in premature infants.

  • 2

    The study utilized images from the i-ROP study, focusing on infants at 34 weeks' postmenstrual age or less.

  • 3

    A multimodal model combining retinal features and demographic data outperformed models using either data type alone for bronchopulmonary dysplasia.

  • 4

    For pulmonary hypertension, the imaging-only model demonstrated strong diagnostic capability, achieving an AUC of 0.91.

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    The findings suggest retinal imaging could aid in early identification of infants at risk for severe cardiopulmonary complications.

Original Source(s)

Retinal AI Predicts Neonatal Lung Disease

  • by mdspire news news staff

  • February 17, 2026

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