Modern artificial intelligence capabilities in the diagnosis and treatment of ocular complications of diabetes mellitus

Artificial intelligence (AI) is currently considered one of the most rapidly developing and improving fields in science and practice, including medicine. Deep machine learning algorithms enable systems to recognize images, process natural language, and predict trends based on large databases. This review analyses the role of AI using the example of ocular complications in patients with diabetes mellitus (DM). Literature data on the use of AI technologies in screening patients with DM, diagnosing diabetic retinopathy and diabetic macular edema, disease monitoring, treatment selection, retinal laser photocoagulation, and targeted delivery of angiogenesis inhibitors in patients with retinal damage due to DM are analyzed. The advantages of AI technologies, including the high speed and accuracy of analyzing large volumes of medical data and the possibility of remote interaction, are demonstrated, which can assist ophthalmologists in making medical decisions.

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