AI-Enabled Diagnostic Solution for Eye Disease Detection and Treatment Planning

Abstract

Serious worldwide health issues include vision-threatening diseases such macular degeneration, glaucoma, cataracts, and diabetic retinopathy. Effective therapy requires an accurate and early diagnosis, but standard diagnostic techniques are expensive and require specialist knowledge and equipment, rendering them unavailable to underprivileged communities. This work describes a web application driven by artificial intelligence (AI) and machine learning (ML) that analyzes retinal images to help in early diagnosis of eye problems. With its diagnostic findings and comprehensive reports, the platform offers patients and healthcare providers an affordable, scalable option. Furthermore, the model's capacity for continual learning enables it to gradually increase diagnostic accuracy. This solution has the potential to lessen the worldwide burden of vision impairment and blindness by eliminating accessibility constraints, especially in areas with low resources.