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Latest developments of generative artificial intelligence and applications in ophthalmology

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WOS体系：
Pubmed体系：

收录情况： ◇ SCIE

作者：
Feng Xiaoru[1,2] * ; Xu Kezheng[3] * ; Luo Ming-Jie[3] ; Chen Haichao[4] ; Yang Yangfan[3] ; He Qi[5] ; Song Chenxin[5] ; Li Ruiyao[5] ; Wu You[2,6,7] ; Wang Haibo[5] ; Tham Yih Chung[8,9,10,11] ; Ting Daniel Shu Wei[10,11,12] ; Lin Haotian[3,13,14] ; Wong Tien Yin[4,10,15] ; Lam Dennis Shun-Chiu[16,17] ;
机构： [1]School of Biomedical Engineering, Tsinghua Medicine, Tsinghua University, Beijing, China [2]Institute for Hospital Management, Tsinghua Medicine, Tsinghua University, Beijing, China. [3]State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Guangdong Provincial Clinical Research Center for Ocular Diseases, Guangzhou, China. [4]School of Clinical Medicine, Beijing Tsinghua Changgung Hospital, Tsinghua Medicine, Tsinghua University, Beijing, China. [5]Research Centre of Big Data and Artificial Research for Medicine, The First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, China. [6]School of Basic Medical Sciences, Tsinghua Medicine, Tsinghua University, Beijing, China [7]Department of Health Policy and Management, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA. [8]Department of Ophthalmology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore [9]Centre for Innovation and Precision Eye Health, Yong Loo Lin School of Medicine, National University of Singapore, Singapore [10]Singapore Eye Research Institute, Singapore National Eye Centre, Singapore [11]Ophthalmology and Visual Science Academic Clinical Program, Duke-NUS Medical School, Singapore. [12]Byers Eye Institute, Stanford University, Palo Alto, CA, USA. [13]Center for Precision Medicine and Department of Genetics and Biomedical Informatics, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, China [14]Hainan Eye Hospital and Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Haikou, China. [15]Tsinghua Medicine, Tsinghua University, Beijing, China. [16]The International Eye Research Institute, The Chinese University of Hong Kong (Shenzhen), Shenzhen, China [17]The C-MER International Eye Care Group, Hong Kong, Hong Kong,China.
出处：
DOI： 10.1016/j.apjo.2024.100090

关键词： Generative artificial intelligence Ophthalmology Risk management Clinical workflow AI in medical research

摘要：
The emergence of generative artificial intelligence (AI) has revolutionized various fields. In ophthalmology, generative AI has the potential to enhance efficiency, accuracy, personalization and innovation in clinical practice and medical research, through processing data, streamlining medical documentation, facilitating patient-doctor communication, aiding in clinical decision-making, and simulating clinical trials. This review focuses on the development and integration of generative AI models into clinical workflows and scientific research of ophthalmology. It outlines the need for development of a standard framework for comprehensive assessments, robust evidence, and exploration of the potential of multimodal capabilities and intelligent agents. Additionally, the review addresses the risks in AI model development and application in clinical service and research of ophthalmology, including data privacy, data bias, adaptation friction, over interdependence, and job replacement, based on which we summarized a risk management framework to mitigate these concerns. This review highlights the transformative potential of generative AI in enhancing patient care, improving operational efficiency in the clinical service and research in ophthalmology. It also advocates for a balanced approach to its adoption.Copyright © 2024 The Authors. Published by Elsevier Inc. All rights reserved.

基金：
This work was supported by Tsinghua University Start-up Fund #53335000124.
语种：
外文
被引次数：
WOS：
PubmedID：
中科院(CAS)分区：
出版当年[2023]版：
大类 | 3 区 医学
小类 | 2 区 眼科学
最新[2023]版：
大类 | 3 区 医学
小类 | 2 区 眼科学
JCR分区：
出版当年[2022]版：
Q1 OPHTHALMOLOGY
最新[2023]版：
Q1 OPHTHALMOLOGY

影响因子： 最新[2023版] 最新五年平均 出版当年[2022版] 出版当年五年平均 出版前一年[2021版] 出版后一年[2023版]

第一作者：
第一作者机构： [1]School of Biomedical Engineering, Tsinghua Medicine, Tsinghua University, Beijing, China [2]Institute for Hospital Management, Tsinghua Medicine, Tsinghua University, Beijing, China.
共同第一作者：
通讯作者：
通讯机构： [2]Institute for Hospital Management, Tsinghua Medicine, Tsinghua University, Beijing, China. [6]School of Basic Medical Sciences, Tsinghua Medicine, Tsinghua University, Beijing, China [7]Department of Health Policy and Management, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA.
推荐引用方式(GB/T 7714)：
Feng Xiaoru,Xu Kezheng,Luo Ming-Jie,et al.Latest developments of generative artificial intelligence and applications in ophthalmology[J].Asia-Pacific Journal Of Ophthalmology (Philadelphia, Pa.).2024,13(4):100090.doi:10.1016/j.apjo.2024.100090.
APA：
Feng Xiaoru,Xu Kezheng,Luo Ming-Jie,Chen Haichao,Yang Yangfan...&Lam Dennis Shun-Chiu.(2024).Latest developments of generative artificial intelligence and applications in ophthalmology.Asia-Pacific Journal Of Ophthalmology (Philadelphia, Pa.),13,(4)
MLA：
Feng Xiaoru,et al."Latest developments of generative artificial intelligence and applications in ophthalmology".Asia-Pacific Journal Of Ophthalmology (Philadelphia, Pa.) 13..4(2024):100090

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