[Advancements of artificial intelligence in dry eye]

With the continuous evolution of computer technology and the surging advent of the big data era, artificial intelligence (AI) has already manifested extremely broad application prospects. Medical AI, like a capable assistant, can help doctors make more objective and accurate clinical decisions, thus playing an increasingly crucial role in the medical field. In view of the unique particularity of the eyeball's anatomical structure, ophthalmic AI consequently shows unique and incomparable research advantages, opening up new avenues for the diagnosis and treatment of ophthalmic diseases. Dry eye, as an ocular surface disease caused by the interweaving of a variety of complex factors, has shown a steadily increasing trend in prevalence year by year. Among numerous ocular surface diseases, it has conspicuously become one of the most common disorders, posing a non-negligible threat to the global population's ocular health. This article will systematically conduct a detailed review of the specific applications of AI in the field of dry eye, deeply analyze and precisely point out the numerous challenges and the infinite application prospects that AI faces in the process of clinical diagnosis of dry eye. The aim is to provide highly valuable reference bases and directional guidance for the further expansion and in-depth development of AI technology in the specific field of dry eye.