人工智能技术在眼前节疾病及近视诊疗中的应用  

Application of artificial intelligence technologies in ocular anterior segment diseases diagnosis and myopia management

作　　者：周奕文(综述) 杨燕宁(审校)[1] Zhou Yiwen;Yang Yanning(Department of Ophthalmology,Renmin Hospital of Wuhan University,Wuhan 430060,China)

机构地区：[1]武汉大学人民医院眼科中心,430060

出　　处：《中华实验眼科杂志》2021年第9期821-826,共6页Chinese Journal Of Experimental Ophthalmology

基　　金：国家自然科学基金项目(81770899);湖北省重点研发计划项目(2020BCB055)。

摘　　要：近年来,随着计算机运算能力的提高、学习算法和架构的完善以及大数据的共享,人工智能(AI)辅助诊断技术在医学领域的应用取得了很大进展。在眼前节疾病的诊断方面,AI可对翼状胬肉、角膜病变、真菌性角膜炎等疾病进行辅助诊断,在圆锥角膜筛查、早期诊断和疾病管理中具有潜在应用价值;AI技术有望助力白内障远程医疗及优化人工晶状体计算公式;AI对前房角狭窄的诊断、房角关闭机制的识别、房角图片的质量评估、抗青光眼手术疗效的预测等方面均显示出良好性能。在视光学领域,AI在预测近视度数变化、预警高度近视的高危人群及角膜塑形镜验配、个性化角膜屈光术式推荐等方面有较好的表现。本文就AI在眼前节疾病诊断及近视诊疗中的作用、应用及局限性进行综述。With the improvement of computing power,the refinement of learning algorithms and architectures and the disclosure of big data,many achievements pertaining to artificial intelligence(AI)have been achieved in the field of medicine.In the field of ocular anterior segment,AI can provide adjunctive diagnosis for pterygium,corneal injury and fungal keratitis etc.In addition,AI presents potential value in screening,early diagnosis and management of keratoconus.For cataract,AI is expected to aid telemedicine and optimize IOL calculation.AI also shows good performance in diagnosing narrow anterior chamber angle,identifying the mechanism of angle closure,assessing the image quality of anterior chamber angle,and predicting the efficacy of glaucoma surgery.In optometry,AI appears to be available in predicting myopia progress,indicating risk factors and subjects of high myopia,and providing help for selection of orthokeratology and cornea refractive surgery.The development,application and limitation of AI technology in the field of ocular anterior segment and myopia management were reviewed.

关 键 词：人工智能 机器学习 眼前节 视光学 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程] R778.11[自动化与计算机技术—控制科学与工程]