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Published on: March 24, 2020
Artificial intelligence-based apps for screening and diagnosing diabetic retinopathy and common ocular disorders
Rajwinder Kaur1, Arvind Kumar Morya2, Parul C Gupta3
1Department of Ophthalmology, Adesh Institute of Medical Sciences and Research, Bathinda 151101, Punjab, India.
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Artificial intelligence (AI), encompassing machine learning and deep learning, is being extensively used in medical sciences. It is slated to positively impact the diagnosis and prognostication of various diseases. Deep learning, a subset of AI, has been instrumental in diagnosing diabetic retinopathy (DR), diabetic macular edema, glaucoma, age-related macular degeneration, and numerous other ocular diseases. AI performs equally well in the early prediction of glaucoma and age-related macular degeneration. Integrating AI with telemedicine promises to improve healthcare delivery, although challenges persist in implementing AI algorithms, especially in developing countries. This review provides a comprehensive summary of AI, its applications in ophthalmology, particularly DR, the diverse algorithms utilized for different ocular conditions, and prospects for the future integration of AI in eye care.
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