AI And Machine Learning In Ophthalmology: Enhancing Eye Disease Detection, Treatment, And Virtual Rehabilitation
Year: 2025
Type: article
Abstract: Macular degeneration, glaucoma, diabetic retinopathy, and other eye conditions are major global health concerns. The diagnosis, treatment, and management of ocular disorders have been revolutionized by recent developments in artificial intelligence (AI) and machine learning (ML). Virtual eye clinics, realistic medical training simulations, AI-powered smart glasses, and customized vision treatments are just a few of the AI-driven advances that are examined in this study. These technologies provide real-time assistive solutions for visually impaired people, improve medical training through VR-based simulations, and improve remote diagnostics. Additionally, AI's potential to transform ophthalmology is demonstrated by its incorporation into telemedicine, drug research, and AI-guided procedures. Even with encouraging advancements, issues including algorithmic biases, data privacy, and healthcare integration still exist. By addressing these issues, we can guarantee broad adoption and optimize AI's potential to prevent vision loss and improve global eye care.
Authors: Shreyanshu ranjan, Tirth Patel, Tanay Tushar, Shivam Kumar, Ayush Kumar, Yash Raj, Sparsh Bajoria
Language: English
Topic: Retinal Imaging and Analysis
Subfield: Radiology, Nuclear Medicine and Imaging
Field: Medicine
Domain: Health Sciences
Open Access status: hybrid
OpenAlex ID: W4408886259