Review Integration of smartphone technology and artificial intelligence for advanced ophthalmic care:A systematic review  

作　　者：Kai Jin Yingyu Li Hongkang Wu Yih Chung Tham Victor Koh Yitian Zhao Ryo Kawasaki Andrzej Grzybowski Juan Ye 

机构地区：[1]Eye Center,The Second Affiliated Hospital of Zhejiang University School of Medicine,Zhejiang Provincial Key Laboratory of Ophthalmology,Zhejiang Provincial Clinical Research Center for Eye Diseases,Zhejiang Provincial Engineering Institute on Eye Diseases,Hangzhou,China [2]Centre for Innovation and Precision Eye Health,National University of Singapore,Singapore [3]Department of Ophthalmology,National University of Singapore,Singapore [4]Singapore Eye Research Institute,Singapore National Eye Centre,Singapore [5]Ophthalmology and Visual Science Academic Clinical Program,Duke-NUS Medical School,Singapore [6]Cixi Institute of Biomedical Engineering,Ningbo Institute of Materials Technology and Engineering,Chinese Academy of Sciences,Ningbo,China [7]Ningbo Eye Hospital,Ningbo,China [8]Zhejiang International Scientific and Technological Cooperative Base of Biomedical Materials and Technology,Ningbo Institute of Materials Technology and Engineering,Chinese Academy of Sciences,Ningbo,China [9]Zhejiang Engineering Research Center for Biomedical Materials,Ningbo Institute of Materials Technology and Engineering,Chinese Academy of Sciences,Ningbo,China [10]Division of Public Health,Department of Social Medicine,Graduate School of Medicine,Osaka University,Osaka,Japan [11]Artificial Intelligence Center for Medical Research and Application,Osaka University Hospital,Osaka,Japan [12]Institute for Research in Ophthalmology,Foundation for Ophthalmology Development,Poznan,Poland

出　　处：《Advances in Ophthalmology Practice and Research》2024年第3期120-127,共8页眼科实践与研究新进展（英文）

基　　金：supported by Natural Science Foundation of China(grant number 82201195);Clinical Medical Research Center for Eye Diseases of Zhejiang Province(grant number 2021E50007).

摘　　要：Background:The convergence of smartphone technology and artificial intelligence(AI)has revolutionized the landscape of ophthalmic care,offering unprecedented opportunities for diagnosis,monitoring,and management of ocular conditions.Nevertheless,there is a lack of systematic studies on discussing the integration of smart-phone and AI in this field.Main text:This review includes 52 studies,and explores the integration of smartphones and AI in ophthalmology,delineating its collective impact on screening methodologies,disease detection,telemedicine initiatives,and patient management.The collective findings from the curated studies indicate promising performance of the smartphone-based AI screening for various ocular diseases which encompass major retinal diseases,glaucoma,cataract,visual impairment in children and ocular surface diseases.Moreover,the utilization of smartphone-based imaging modalities,coupled with AI algorithms,is able to provide timely,efficient and cost-effective screening for ocular pathologies.This modality can also facilitate patient self-monitoring,remote patient monitoring and enhancing accessibility to eye care services,particularly in underserved regions.Challenges involving data pri-vacy,algorithm validation,regulatory frameworks and issues of trust are still need to be addressed.Furthermore,evaluation on real-world implementation is imperative as well,and real-world prospective studies are currently lacking.Conclusions:Smartphone ocular imaging merged with AI enables earlier,precise diagnoses,personalized treat-ments,and enhanced service accessibility in eye care.Collaboration is crucial to navigate ethical and data security challenges while responsibly leveraging these innovations,promising a potential revolution in care access and global eye health equity.

关 键 词：Artificial intelligence Smartphone imaging OPHTHALMOLOGY TELEMEDICINE Ocular disease management 

分 类 号：R473.77[医药卫生—护理学] TP18[医药卫生—临床医学]