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Large language models for diabetes care: Potentials and prospects.
Sheng, Bin; Guan, Zhouyu; Lim, Lee-Ling; Jiang, Zehua; Mathioudakis, Nestoras; Li, Jiajia; Liu, Ruhan; Bao, Yuqian; Bee, Yong Mong; Wang, Ya-Xing; Zheng, Yingfeng; Tan, Gavin Siew Wei; Ji, Hongwei; Car, Josip; Wang, Haibo; Klonoff, David C; Li, Huating; Tham, Yih-Chung; Wong, Tien Yin; Jia, Weiping.
Afiliação
  • Sheng B; 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 S
  • Guan Z; 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 S
  • Lim LL; 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.
  • Jiang Z; Tsinghua Medicine of Tsinghua University, Beijing 100084, China; School of Clinical Medicine, Beijing Tsinghua Changgung Hospital, Beijing 102218, China.
  • Mathioudakis N; Division of Endocrinology, Diabetes, & Metabolism, Johns Hopkins University School of Medicine, Baltimore, MD 21211, USA.
  • Li J; 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 S
  • Liu R; 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 S
  • Bao Y; 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 S
  • Bee YM; Department of Endocrinology, Singapore General Hospital, Singapore 169608, Singapore.
  • Wang YX; Beijing Institute of Ophthalmology, Beijing Tongren Hospital, Capital University of Medical Science, Beijing Ophthalmology and Visual Sciences Key Laboratory, Beijing 100730, China.
  • Zheng Y; State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Guangzhou 510060, China.
  • Tan GSW; Singapore Eye Research Institute, Singapore National Eye Centre, Singapore 168751, Singapore.
  • Ji H; Department of Cardiology, the Affiliated Hospital of Qingdao University, Qingdao 266011, China.
  • Car J; 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 SW7 2BU, UK.
  • Wang H; 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. Electronic address: haw309@mail.harvard.edu.
  • Klonoff DC; Diabetes Research Institute, Mills-Peninsula Medical Center, San Mateo, CA 94010, USA. Electronic address: dklonoff@diabetestechnology.org.
  • Li H; 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 S
  • Tham YC; Singapore Eye Research Institute, Singapore National Eye Centre, Singapore 168751, Singapore; Centre for Innovation and Precision Eye Health, National University of Singapore, Singapore 119077, Singapore; Department of Ophthalmology, National University of Singapore, Singapore 119077, Singapore; Oph
  • Wong TY; Tsinghua Medicine of Tsinghua University, Beijing 100084, China; School of Clinical Medicine, Beijing Tsinghua Changgung Hospital, Beijing 102218, China; Singapore Eye Research Institute, Singapore National Eye Centre, Singapore 168751, Singapore. Electronic address: wongtienyin@tsinghua.edu.cn.
  • Jia W; 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 S
Sci Bull (Beijing) ; 69(5): 583-588, 2024 Mar 15.
Article em En | MEDLINE | ID: mdl-38220476
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Diabetes Mellitus Tipo 2 / Idioma Limite: Humans Idioma: En Revista: Sci Bull (Beijing) Ano de publicação: 2024 Tipo de documento: Article
Texto completo
Adicionar na Minha BVS
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Diabetes Mellitus Tipo 2 / Idioma Limite: Humans Idioma: En Revista: Sci Bull (Beijing) Ano de publicação: 2024 Tipo de documento: Article