摘要随着计算机技术的持续演进以及大数据时代的汹涌来临，人工智能（AI）已然彰显出极为广阔的应用前景。医学AI犹如一位得力助手，能够助力医生制定更为客观且精准的临床决策，从而在医疗领域发挥着日益关键的作用。鉴于眼球解剖结构别具一格的特殊性，眼科AI顺势展现出独一无二且无可比拟的研究优势，为眼科疾病的诊断与治疗开辟了崭新的途径。干眼作为一种由多种复杂因素交织引发的眼表疾病，其患病率呈现出逐年稳步攀升的态势，在众多眼表疾病之中已赫然成为最为常见的病症之一，对全球民众的眼部健康构成了不容忽视的威胁。本文将系统性地对AI在干眼领域的具体应用进行详尽综述，深入剖析并精准指出AI在干眼临床诊断进程中所面临的重重挑战以及其蕴含的无限应用前景，旨在于为AI技术在干眼这一特定领域的进一步拓展与深化发展提供极具价值的参考依据与方向指引。

abstractsWith 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.