Abstract: AI has the potential to revolutionize ophthalmology by increasing the diagnostic precision, efficacy, and accessibility of eye diseases. This study investigates the use of AI technologies, specifically machine learning and deep learning, to improve diagnostic procedures in the field of ophthalmology.
We offer a thorough analysis of AI methods, including how they are integrated with clinical data and imaging modalities. We also talk about platforms for creating animated videos that help to visualize and teach AI in ophthalmology. Along with outlining a comprehensive approach for integrating AI into diagnostic procedures, the article also addresses the future directions of this quickly developing discipline and highlights current developments.
Arup Saha, Bulti Saha Debnath. AI applications for eye disease diagnosis. Int J Multidiscip Trends 2024;6(11):48-50. DOI: 10.22271/multi.2024.v6.i11a.504
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