Application of artificial intelligence in prevention of myopia progression. Solving the problem

Abstract Application of artificial intelligence in prevention of myopia progression. Solving the problem E.Yu. Markova, T.V. Belikova, E.V. Kechin, E.A. Shikhalieva, A.A. Postolnik, A.E. Nikitina, D.Ya. Navruzalieva The S. Fyodorov Eye Microsurgery Federal State Institution, Moscow, Russian Federation2 Russian Medical Academy of Continuous Professional Education, Moscow, Russian Federation This literature review reflects current possibilities of using artificial intelligence in relation to the prediction and treatment of myopia. Artificial intelligence is applicated in various fields of medicine, using digital data. Over the past few years, machine learning-based methods have shown excellent results in analyzing and detecting patterns in various data. With the help of artificial intelligence, it is possible to improve the efficiency of the healthcare system and reduce the workload and volume of routine clinical work. Given the size, especially for a complex disease such as myopia, where numerous co-dependent factors are involved in the causes, epidemiology, diagnosis and progression, it is almost impossible to manually analyze clinical data. Machine learning methods make it possible to predict development of a high degree of myopia in adolescents, which may be useful for early detection of children at risk and timely intervention. Key words: myopia, artificial intelligence, machine learning