Ophthalmology and Vision Science

Ocular Imaging – AI & Digital Technologies

Ocular imaging technologies are rapidly advancing with AI integration, enabling earlier detection and enhanced monitoring of eye diseases. High-resolution OCT, OCT-angiography, adaptive optics, and ultra-widefield imaging systems capture detailed structural and vascular information, supporting precise analysis of retinal and corneal changes. Machine-learning algorithms trained on large datasets assist in identifying subtle abnormalities, predicting progression, and guiding personalized treatment pathways. Digital platforms enable automated screening for diabetic retinopathy, age-related macular degeneration, and glaucoma in both clinical and community settings. Cloud-based imaging workflows improve data accessibility, teleconsultation, and cross-specialty collaboration. Functional imaging techniques, including hyperspectral imaging and fluorescence lifetime analysis, are offering deeper insights into metabolic changes at the cellular level. These integrated advancements enhance diagnostic confidence, streamline clinical decision-making, and support earlier intervention, ultimately improving long-term visual outcomes while reducing the burden on healthcare systems.