人工智能在眼前段疾病的应用  

Application of artificial intelligence in anterior segment ophthalmic diseases

作　　者：王佳浩(综述) 李王婷 杨雅涵 项毅帆 徐安迪 林浩添(审校)[2] WANG Jiahao;LI Wangting;YANG Yahan;XIANG Yifan;XU Andi;LIN Haotian(School of Nursing,Sun Yat-sen University,Guangzhou 510080;State Key Laboratory of Ophthalmology,Zhongshan Ophthalmic Center,Sun Yat-sen University,Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science,Guangzhou 510060,China)

机构地区：[1]中山大学护理学院,广州510080 [2]中山大学中山眼科中心,眼科学国家重点实验室,广东省眼科视觉科学重点实验室,广州510060

出　　处：《眼科学报》2022年第3期171-177,共7页Eye Science

基　　金：本科教学质量工程项目[教务(2021)93号]。

摘　　要：随着人工智能(artificial intelligence,AI)技术的快速发展,基于深度学习(deep learning,DL)和机器学习的AI技术在医学领域上的应用受到了广泛的关注。AI在眼科的应用也逐渐向更全面更深入的层次发展,通过角膜断层扫描、光学相干断层扫描、裂隙灯图像等技术,AI在对角膜病变、结膜病变、白内障、青光眼等眼部疾病的诊断和治疗方面都表现出了良好的性能。然而AI在眼科的应用方面也存在一些诸如结果可解释性的欠缺、数据集标准化的缺乏、数据集质量的不齐、模型适用性的不足和伦理问题等挑战。在5G和远程医疗飞速发展的时代,眼科AI同时也有许多新的机遇。本文综述了AI在前段眼科疾病中的应用、临床实施的潜在挑战和前景,为AI在眼科领域的进一步发展提供参考信息。With the rapid development of artificial intelligence (AI) technology,the application of AI technology based on deep learning (DL) and machine learning (ML) in the medical field has received widespread attention.The application of AI in ophthalmology is gradually being shifted to a more comprehensive and in-depth level.Trained on corneal tomography,optical coherence tomography (OCT),slit-lamp images,and other techniques.AI can achieve robust performance in the diagnosis and treatment of corneal lesions,conjunctival lesions,cataract,glaucoma and other ophthalmic diseases.However,there are also some challenges in the application of AI in ophthalmology,including the lack of interpretability of results,lack of standardization of data sets,uneven quality of data sets,insufficient applicability of models and ethical issues.In the era of 5G and telemedicine,there are also many new opportunities for ophthalmic AI.In this review,we provided a summary of the state-of-the-art AI application in anterior segment ophthalmic diseases,potential challenges in clinical implementation and its development prospects,and provides reference information for the further development of artificial intelligence in the field of ophthalmology.

关 键 词：眼科 人工智能 眼前段 计算机辅助诊断系统 机器学习 

分 类 号：TP3[自动化与计算机技术—计算机科学与技术]