This paper delves into the innovative use of eye-tracking technology to revolutionize the timely diagnosis and monitoring of various eye health conditions. SmartVision, as a cutting-edge system, leverages non- invasive and highly precise eye-tracking to detect subtle ocular movements that serve as indicators of underlying health issues. The study comprehensively explores the technological advancements that underpin this system, its design principles, and the broad spectrum of healthcare applications. Employing a robust mixed-methods approach—including extensive clinical trials, real-time data analysis, and valuable patient feedback—the research highlights how AI-driven insights integrated with eye-tracking data can elevate preventive care and foster early medical interventions. By addressing critical challenges like diagnostic delays, patient outcomes, and healthcare costs, SmartVision holds transformative potential. This paper also examines issues like data privacy, system accessibility, and the need for interdisciplinary collaboration, concluding with practical recommendations for advancing this field further.
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