ARTIFICIAL INTELLIGENCE AND EYE-TRACKING TECHNOLOGIES: PROSPECTS IN OPHTHALMIC DIAGNOSTICS
Abstract
This article examines the current capabilities and future prospects of artificial intelligence and eye-tracking technologies in ophthalmic diagnostics. The effectiveness of eye movement tracking systems and machine learning algorithms in detecting visual system disorders was investigated. The results demonstrate that AI-based diagnostic systems can significantly improve early disease detection, automate data analysis, and enhance diagnostic accuracy in ophthalmology.
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