摘要
The increasing prevalence of diabetes has become a global public health concern in the 21st century.In 2021,it was estimated that 537 million people had diabetes,and this number is projected to reach 643 million by 2030,and 783 million by 2045[1].Such a huge burden of diabetes brings great challenges in its prevention and management,including early diagnosis,timely interventions,and regular monitoring of risk factor control and complications screening.Continuous self-care support and patient empowerment can enhance clinical and psychobehavioural outcomes[2],although these require additional resources including manpower,infrastructure(hard and technology),and finances.The emergence of digital health technologies(DHTs),especially artificial intelligence(AI),may help address these obstacles and alleviate the burden of diabetes[3].Large language models(LLMs),a generative AI that can accept image and text inputs and produce text outputs,have shown promise in various aspects of medical care.
作者
盛斌
管洲榆
Lee-Ling Lim
江泽铧
Nestoras Mathioudakis
李佳佳
刘茹涵
包玉倩
Yong Mong Bee
王亚星
郑颖丰
Gavin Siew Wei Tan
纪宏伟
Josip Car
王海波
David C.Klonoff
李华婷
覃宇宗
黄天荫
贾伟平
Bin Sheng;Zhouyu Guan;Lee-Ling Lim;Zehua Jiang;Nestoras Mathioudakish;Jiajia Li;Ruhan Liu;Yuqian Bao;Yong Mong Bee;Ya-Xing Wang;Yingfeng Zheng;Gavin Siew Wei Tan;Hongwei Ji;Josip Car;Haibo Wang;David C.Klonoff;Huating Li;Yih-Chung Tham;Tien Yin Wong;Weiping Jia(Shanghai International Joint Laboratory of Intelligent Prevention and Treatment for Metabolic Diseases,Department of Computer Science and Engineering,School of Electronic,Information,and Electrical Engineering,Shanghai Jiao Tong University,Department of Endocrinology and Metabolism,Shanghai Sixth People’s Hospital Affiliated to Shanghai Jiao Tong University School of Medicine,Shanghai Diabetes Institute,Shanghai Clinical Center for Diabetes,Shanghai 200240,China;MOE Key Laboratory of Artificial Intelligence,Artificial Intelligence Institute,Shanghai Jiao Tong University,Shanghai 200240,China;Department of Medicine,Faculty of Medicine,University of Malaya,Kuala Lumpur 50603,Malaysia;Department of Medicine and Therapeutics,The Chinese University of Hong Kong,Hong Kong,China;Asia Diabetes Foundation,Hong Kong,China;Tsinghua Medicine of Tsinghua University,Beijing 100084,China;School of Clinical Medicine,Beijing Tsinghua Changgung Hospital,Beijing 102218,China;Division of Endocrinology,Diabetes,&Metabolism,Johns Hopkins University School of Medicine,Baltimore,MD 21211,USA;Department of Endocrinology,Singapore General Hospital,Singapore 169608,Singapore;Beijing Institute of Ophthalmology,Beijing Tongren Hospital,Capital University of Medical Science,Beijing Ophthalmology and Visual Sciences Key Laboratory,Beijing 100730,China;State Key Laboratory of Ophthalmology,Zhongshan Ophthalmic Center,Sun Yat-sen University,Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science,Guangzhou 510060,China;Singapore Eye Research Institute,Singapore National Eye Centre,Singapore 168751,Singapore;Department of Cardiology,the Affiliated Hospital of Qingdao University,Qingdao 266011,China;Centre for Population Health Sciences,Lee Kong Chian School of Medicine,Nanyang Technological University Singapore,Singapore 639798,Singapore;Department of Primary Care and Public Health,School of Public Health,Imperial College London,London SW72BU,UK;Clinical Trial Unit,Research Centre of Big Data and Artificial Intelligence in Medicine,Institute of Precision Medicine,The First Affiliated Hospital of Sun Yat-sen University,Guangzhou 510080,China;Diabetes Research Institute,Mills-Peninsula Medical Center,San Mateo,CA 94010,USA;Centre for Innovation and Precision Eye Health,National University of Singapore,Singapore 119077,Singapore;Department of Ophthalmology,National University of Singapore,Singapore 119077,Singapore;Ophthalmology and Visual Science Academic Clinical Program,Duke-NUS Medical School,Singapore 169857,Singapore)
基金
supported by the National Key R&D Program of China(2022YFC2502800 and 2022YFC2407000)
the National Natural Science Foundation of China(8238810007,82022012,81870598 and 62272298)
the Shanghai Municipal Key Clinical Specialty
Shanghai Research Center for Endocrine and Metabolic Diseases(2022ZZ01002)
the Chinese Academy of Engineering(2022-XY-08)
the Innovative Research Team of High-level Local Universities in Shanghai(SHSMU-ZDCX20212700)。
