Журнал клинической и экспериментальной офтальмологии
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Advances in Artificial Intelligence in Dry Eye Disease

Hui Dong, Tianqi Zhao, Haixia Zhao

Dry eye is the most common ocular surface disease except refractive error, which is often manifested as dryness, foreign body sensation, itching sensation, accompanied by blurred vision, eye acidity, visual fatigue, etc., mild to moderate dry eye has become the most common ocular disease that affects people's daily work, study and life and severe dry eye seriously affects the quality of patients' life and visual quality and may even lead to blindness. At present, the diagnosis of dry eye is relatively subjective and lacks the only certain diagnostic criteria, mostly relying on the rich experience of clinicians and a variety of auxiliary examinations; its treatment mostly relies on topical medication, long-term use of drugs has side effects and the efficacy of the treatment is inconsistent. Therefore, in the new era, in order to help precision medicine, more accurate diagnosis and treatment of dry eye, artificial intelligence came into being, artificial intelligence in dry eye research has made some progress, this paper on the application of artificial intelligence in the field of dry eye to review, in order to form a highly efficient, economical and accurate diagnosis and treatment mode in the future clinical work.