大力推进人工智能在眼表与泪液疾病诊疗中的应用  

Vigorously advancing the application of AI in the diagnosis and treatment of ocular surface and tear diseases

作　　者：刘祖国 王少攀 Liu Zuguo;Wang Shaopan(Department of Ophthalmology of Xiang′an Hospital of Xiamen University,Eye Institute of Xiamen University,Fujian Provincial Key Laboratory of Ophthalmology and Visual Science,Fujian Engineering and Research Center of Eye Regenerative Medicine,Xiamen University School of Medicine,Xiamen 361102,China)

机构地区：[1]厦门大学附属翔安医院眼科、厦门大学眼科研究所、福建省眼科与视觉科学重点实验室、福建省眼再生医学工程研究中心、厦门大学医学院,厦门361102

出　　处：《中华眼科杂志》2025年第2期81-86,共6页Chinese Journal of Ophthalmology

摘　　要：眼表与泪液疾病是最常见影响眼健康的重大眼病。近年我国眼表与泪液疾病研究和临床诊疗水平快速提升,但仍然面临诸多困难,医学人工智能(AI)突破性进展为应对困难提供了新的方法和途径。本文基于我国眼表与泪液疾病领域AI应用的现状及存在的主要问题,从构建共享的多模态数据库,开发AI基础模型,完善AI模型评价体系,推动AI进行疾病全周期管理及复合型人才培养5个方面,指明未来努力方向,以期大力推进AI在眼表与泪液疾病诊疗中的应用。Ocular surface and tear diseases are among the most common and significant ocular conditions affecting eye health.In recent years,research and clinical diagnosis and treatment of ocular surface and tear diseases have rapidly developed in China,but numerous challenges remain.Breakthroughs in medical artificial intelligence(AI)offer new methods and approaches to address these difficulties.This article,based on the current state of AI applications for ocular surface and tear diseases in China and the major challenges,outlines future directions for progress.With the construction of shared multimodal databases,development of AI foundational models,improvement of AI evaluation systems,promotion of AI for comprehensive disease management throughout the entire lifecycle,and training of multidisciplinary talents,significant advances of the application of AI in the diagnosis and treatment of ocular surface and tear diseases would be achieved.

关 键 词：眼表现 泪器疾病 人工智能 疾病管理 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程] R77[自动化与计算机技术—控制科学与工程]