Guidelines for the application of artificial intelligence in the diagnosis of anterior segment diseases(2023)

作     者：Yi Shao Ying Jie Zu-Guo Liu Expert Workgroup of Guidelines for the application of artificial intelligence in the diagnosis of anterior segment diseases(2023) Ophthalmic Imaging and Intelligent Medicine Branch of Chinese Medicine Education Association Ophthalmology Committee of International Association of Translational Medicine Chinese Ophthalmic Imaging Study Groups 

作者机构：Department of Ophthalmologythe First Affiliated Hospital of Nanchang UniversityNanchang UniversityNanchang 330006Jiangxi ProvinceChina Beijing Institute of OphthalmologyBeijing Tongren Eye CenterBeijing Tongren HospitalCapital Medical UniversityBeijing Ophthalmology&Visual Sciences Key LaboratoryBeijing 100730China Eye Institute of Xiamen UniversityXiamen 361102Fujian ProvinceChina 不详 

出 版 物：《International Journal of Ophthalmology(English edition)》 (国际眼科杂志（英文版）)

年 卷 期：2023年第16卷第9期

页      面：1373-1385页

核心收录：

学科分类：12[管理学] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 1002[医学-临床医学] 081104[工学-模式识别与智能系统] 08[工学] 100212[医学-眼科学] 0835[工学-软件工程] 0811[工学-控制科学与工程] 0812[工学-计算机科学与技术（可授工学、理学学位）] 10[医学] 

基　　金：Supported by National Natural Science Foundation of China(No.82160195,No.81800804,No.82201148) Jiangxi Province Double Thousand Plan Technology Innovation High-end Leading Talent Project(No.jxsq2023201036) Jiangxi Province Major(Key)R&D Special Plan(No.20223BBH80014,No.20181BBG70004,No.20203BBG73059) Jiangxi Province Outstanding Youth Fund(No.20192BCBL23020) 

主　　题：artificial intelligence corneal disease lens disease conjunctive disease eyelid disease guideline 

摘      要：The landscape of ophthalmology has obser ved monumental shifts with the advent of artificial intelligence(AI)*** article is devoted to elaborating on the nuanced application of AI in the diagnostic realm of anterior segment eye diseases,an area ripe with potential yet complex in its imaging ***,AI’s entrenchment in ophthalmology was predominantly rooted in the posterior ***,the evolution of machine learning paradigms,particularly with the advent of deep learning methodologies,has reframed the *** combined with the exponential surge in available electronic image data pertaining to the anterior segment,AI’s role in diagnosing corneal,conjunctival,lens,and eyelid pathologies has been solidified and has emerged from the realm of theoretical to *** light of this transformative potential,collaborations between the Ophthalmic Imaging and Intelligent Medicine Subcommittee of the China Medical Education Association and the Ophthalmology Committee of the International Translational Medicine Association have been *** eminent bodies mobilized a consortium of experts to dissect and assimilate advancements from both national and international *** mandate was not limited to AI’s application in anterior segment pathologies like the cornea,conjunctiva,lens,and eyelids,but also ventured into deciphering the existing impediments and envisioning future *** iterative deliberations,the consensus synthesized herein serves as a touchstone,assisting ophthalmologists in optimally integrating AI into their diagnostic decisions and bolstering clinical *** this guideline,we aspire to offer a comprehensive framework,ensuring that clinical decisions are not merely informed but transformed by *** building upon existing literature yet maintaining the highest standards of originality,this document stands as a testament to both innovation and academic integrity,in line with the e