New Research Suggests AI Analysis of Eye Images Can Help Detect Heart and Lung Issues in Premature Infants

New research, published in JAMA Ophthalmology by the University of Colorado, reports that artificial intelligence analysis of eye photographs may help detect serious heart and lung conditions in premature infants. The approach uses machine learning to analyze retinal images typically captured during routine screening for retinopathy of prematurity, an eye disorder that can affect infants born early. By examining patterns in the blood vessels of the eye, researchers found the system may be able to identify signs associated with cardiopulmonary conditions affecting the infant. AI analysis of retinal imagery can help clinicians with early detection and can reduce the need for more invasive testing.

Early detection of complications such as pulmonary hypertension and other cardiovascular issues is critical for premature babies receiving care in neonatal intensive care units. Clinicians currently rely on a combination of imaging, monitoring and clinical assessments to identify these conditions. Researchers claim that AI-based screening tools could eventually support clinicians by identifying subtle warning signs earlier in the care process.

Posted by MedCloudInsider Editors on 03/09/2026