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Large language models and their impact in ophthalmology

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机构: [1]Yong Loo Lin School of Medicine, National University of Singapore, Singapore. [2]Tsinghua Medicine, Tsinghua University, Beijing, China. [3]Centre for Innovation and Precision Eye Health, National University of Singapore, Singapore [4]Department of Ophthalmology, National University of Singapore, Singapore [5]Singapore Eye Research Institute, Singapore National Eye Centre, Singapore [6]Ophthalmology and Visual Science Academic Clinical Program, Duke-NUS Medical School, Singapore. [7]University of Washington School of Medicine, Department of Ophthalmology, Seattle, WA, USA. [8]Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, China. [9]Department of Ophthalmology, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, South Korea. [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]Centre for Eye Research Australia, Royal Victorian Eye and Ear Hospital, East Melbourne, Melbourne, VA, Australia [13]Ophthalmology, University of Melbourne Department of Surgery, East Melbourne, Melbourne, VA, Australia. [14]Institute for Research in Ophthalmology, Foundation for Ophthalmology Development, Poznan, Poland. [15]Hong Kong Polytechnic University, Hong Kong Special Administrative Region, China. [16]College of Future Technology, Peking University, Beijing, China. [17]Department of Ophthalmology and Visual Sciences, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, China. [18]Department of Ophthalmology, Rajavithi Hospital, Bangkok, Thailand. [19]NIHR Biomedical Research Centre for Ophthalmology, Moorfields Eye Hospital, London, UK. [20]Department of Surgery, McMaster University, Hamilton, ON, Canada. [21]Université Paris Cité, AP-HP, Lariboisière, Saint Louis, and Rothschild Foundation Hospitals, Paris, France. [22]Key Laboratory for Biomechanics and Mechanobiology of Ministry of Education, Beijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science and Medical Engineering, Beihang University, Beijing, China. [23]State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, China [24]Guangzhou Regenerative Medicine and Health Guangdong Laboratory, Guangzhou, China. [25]Beijing Institute of Ophthalmology, Beijing Ophthalmology and Visual Science Key Lab, Beijing Tongren Hospital, Capital Medical University, Beijing, China.
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The advent of generative artificial intelligence and large language models has ushered in transformative applications within medicine. Specifically in ophthalmology, large language models offer unique opportunities to revolutionise digital eye care, address clinical workflow inefficiencies, and enhance patient experiences across diverse global eye care landscapes. Yet alongside these prospects lie tangible and ethical challenges, encompassing data privacy, security, and the intricacies of embedding large language models into clinical routines. This Viewpoint highlights the promising applications of large language models in ophthalmology, while weighing up the practical and ethical barriers towards their real-world implementation. This Viewpoint seeks to stimulate broader discourse on the potential of large language models in ophthalmology and to galvanise both clinicians and researchers into tackling the prevailing challenges and optimising the benefits of large language models while curtailing the associated risks.Copyright © 2023 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY-NC-ND 4.0 license. Published by Elsevier Ltd.. All rights reserved.

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出版当年[2022]版:
大类 | 1 区 医学
小类 | 1 区 医学:信息 1 区 医学:内科
最新[2023]版:
大类 | 1 区 医学
小类 | 1 区 医学:信息 1 区 医学:内科
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出版当年[2021]版:
Q1 MEDICAL INFORMATICS Q1 MEDICINE, GENERAL & INTERNAL
最新[2023]版:
Q1 MEDICAL INFORMATICS Q1 MEDICINE, GENERAL & INTERNAL

影响因子: 最新[2023版] 最新五年平均 出版当年[2021版] 出版当年五年平均 出版前一年[2020版] 出版后一年[2022版]

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第一作者机构: [1]Yong Loo Lin School of Medicine, National University of Singapore, Singapore.
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通讯机构: [3]Centre for Innovation and Precision Eye Health, National University of Singapore, Singapore [4]Department of Ophthalmology, National University of Singapore, Singapore [5]Singapore Eye Research Institute, Singapore National Eye Centre, Singapore [6]Ophthalmology and Visual Science Academic Clinical Program, Duke-NUS Medical School, Singapore. [*1]Department of Ophthalmology, Yong Loo Lin School of Medicine, National University of Singapore, 119228, Singapore
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