AI And Machine Learning In Ophthalmology: Enhancing Eye Disease Detection, Treatment, And Virtual Rehabilitation

Author(s)	Mr. Shreyanshu ranjan, Tirth Hiteshkumar Patel, Tanay Tushar, Shivam Kumar, Ayush Kumar, Yash Raj, Sparsh Bajoria
Country	India
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.
Keywords	eye, telemedicine, drug
Field	Engineering
Published In	Volume 7, Issue 2, March-April 2025
Published On	2025-03-26
DOI	https://doi.org/10.36948/ijfmr.2025.v07i02.39804
Short DOI	https://doi.org/g892pp

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