New AI tools could help eye doctors diagnose retinal disease faster

Article excerpt

Eye doctors are drowning in data. Modern optical coherence tomography scans generate hundreds of images per patient, detailed 3D slices of the retina that clinicians must review by hand, a tedious process prone to mistakes. New AI tools promise to automate this image analysis, helping physicians spot retinal diseases like diabetic retinopathy and age-related macular degeneration faster and more reliably. The technology could accelerate diagnosis without requiring invasive procedures, potentially transforming how eye conditions are detected in clinics worldwide.