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Home Metaverse in Medicine Volume 2, 2025 Volume 2, Issue 1 Review
Review
Open Access
2025,2(1):51-56
https://doi.org/10.61189/772067idazii

Current situation and research progress of digital human GPT in medical education

WANG Yuan
WANG Yuan
Department of Respiratory and Critical Care Medicine, Zhongshan Hospital, Fudan University, Shanghai Respiratory Research Institute, Shanghai Engineer & Technology Research Center of Internet of Things for Respiratory Medicine, Shanghai 200032, China; International Alliance of Metaverse in Medicine, Suzhou 215163, Jiangsu, China
,
YU Qing
YU Qing
Department of Education, Zhongshan Hospital, Fudan University, Shanghai 200032, China
,
ZHANG Min
ZHANG Min
Department of Education, Zhongshan Hospital, Fudan University, Shanghai 200032, China
,
BAI Chunxue
BAI Chunxue
Department of Respiratory and Critical Care Medicine, Zhongshan Hospital, Fudan University, Shanghai Respiratory Research Institute, Shanghai Engineer & Technology Research Center of Internet of Things for Respiratory Medicine, Shanghai 200032, China; International Alliance of Metaverse in Medicine, Suzhou 215163, Jiangsu, China; Shanghai Engineering Research for AI Technology for Cardiopulmonary Diseases, Shanghai 200032, China
,
SONG Yuanlin
SONG Yuanlin
Department of Respiratory and Critical Care Medicine, Zhongshan Hospital, Fudan University, Shanghai Respiratory Research Institute, Shanghai Engineer & Technology Research Center of Internet of Things for Respiratory Medicine, Shanghai 200032, China; International Alliance of Metaverse in Medicine, Suzhou 215163, Jiangsu, China; Shanghai Engineering Research for AI Technology for Cardiopulmonary Diseases, Shanghai 200032, China
,
YANG Dawei
YANG Dawei
yang.dawei@zs-hospital.sh.cn
Department of Respiratory and Critical Care Medicine, Zhongshan Hospital, Fudan University, Shanghai Respiratory Research Institute, Shanghai Engineer & Technology Research Center of Internet of Things for Respiratory Medicine, Shanghai 200032, China; International Alliance of Metaverse in Medicine, Suzhou 215163, Jiangsu, China; Shanghai Engineering Research for AI Technology for Cardiopulmonary Diseases, Shanghai 200032, China
Author information
Article notes
Funding

WANG Yuan, M.S. E-mail: wangyuan011022@163.com

Corresponding author, YANG Dawei, E-mail: yang.dawei@zs-hospital.sh.cn

Received March 18, 2025; Accepted March 29, 2025; Published March 30, 2025
 Supported by Major Project—Research on Cancer， Cardiovascular， Respiratory and Metabolic Diseases （2024ZD0529300）， National Natural Science Foundation of China （82170110）， Shanghai Magnolia Talent Plan Pujiang Project （20PJ1402400）， Shanghai Municipal Key Courses （FDSHZD202409）， Project of Promoting Ability of Medical Science Popularization for Young Talents in Shanghai （JKKPYC-2023-A20）， Establishment of Shanghai Engineering Technology Research Center （20DZ2254400）， Shanghai Science and Technology Innovation Action Plan （21DZ2200600）， Shanghai Key Laboratory of Lung Inflammation and Injury （20DZ2261200）， Shanghai Municipal Science and Technology Major Project （ZD2021CY001）， and Shanghai Municipal Key Clinical Specialty （shslczdzk02201）.
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Review
Open Access
Current situation and research progress of digital human GPT in medical education
WANG Yuan
WANG Yuan
Department of Respiratory and Critical Care Medicine, Zhongshan Hospital, Fudan University, Shanghai Respiratory Research Institute, Shanghai Engineer & Technology Research Center of Internet of Things for Respiratory Medicine, Shanghai 200032, China; International Alliance of Metaverse in Medicine, Suzhou 215163, Jiangsu, China
,
YU Qing
YU Qing
Department of Education, Zhongshan Hospital, Fudan University, Shanghai 200032, China
,
ZHANG Min
ZHANG Min
Department of Education, Zhongshan Hospital, Fudan University, Shanghai 200032, China
,
BAI Chunxue
BAI Chunxue
Department of Respiratory and Critical Care Medicine, Zhongshan Hospital, Fudan University, Shanghai Respiratory Research Institute, Shanghai Engineer & Technology Research Center of Internet of Things for Respiratory Medicine, Shanghai 200032, China; International Alliance of Metaverse in Medicine, Suzhou 215163, Jiangsu, China; Shanghai Engineering Research for AI Technology for Cardiopulmonary Diseases, Shanghai 200032, China
,
SONG Yuanlin
SONG Yuanlin
Department of Respiratory and Critical Care Medicine, Zhongshan Hospital, Fudan University, Shanghai Respiratory Research Institute, Shanghai Engineer & Technology Research Center of Internet of Things for Respiratory Medicine, Shanghai 200032, China; International Alliance of Metaverse in Medicine, Suzhou 215163, Jiangsu, China; Shanghai Engineering Research for AI Technology for Cardiopulmonary Diseases, Shanghai 200032, China
,
YANG Dawei
YANG Dawei
yang.dawei@zs-hospital.sh.cn
Department of Respiratory and Critical Care Medicine, Zhongshan Hospital, Fudan University, Shanghai Respiratory Research Institute, Shanghai Engineer & Technology Research Center of Internet of Things for Respiratory Medicine, Shanghai 200032, China; International Alliance of Metaverse in Medicine, Suzhou 215163, Jiangsu, China; Shanghai Engineering Research for AI Technology for Cardiopulmonary Diseases, Shanghai 200032, China
Author information

WANG Yuan, M.S. E-mail: wangyuan011022@163.com

Corresponding author, YANG Dawei, E-mail: yang.dawei@zs-hospital.sh.cn

Article notes
Received March 18, 2025; Accepted March 29, 2025; Published March 30, 2025
Funding
 Supported by Major Project—Research on Cancer， Cardiovascular， Respiratory and Metabolic Diseases （2024ZD0529300）， National Natural Science Foundation of China （82170110）， Shanghai Magnolia Talent Plan Pujiang Project （20PJ1402400）， Shanghai Municipal Key Courses （FDSHZD202409）， Project of Promoting Ability of Medical Science Popularization for Young Talents in Shanghai （JKKPYC-2023-A20）， Establishment of Shanghai Engineering Technology Research Center （20DZ2254400）， Shanghai Science and Technology Innovation Action Plan （21DZ2200600）， Shanghai Key Laboratory of Lung Inflammation and Injury （20DZ2261200）， Shanghai Municipal Science and Technology Major Project （ZD2021CY001）， and Shanghai Municipal Key Clinical Specialty （shslczdzk02201）.
2025,2(1):51-56
doi:https://doi.org/10.61189/772067idazii
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Abstract

With the rapid development of artificial intelligence technology, digital humans based on language models, such as GPT, have been widely applied in medical education. Digital human GPTs not only assist in learning medical knowledge and training clinical skills but also provide students with real clinical experiences through virtual patient simulations. Despite technical and ethical challenges, the personalized teaching and interactivity of digital human GPTs undoubtedly bring innovative changes to medical education. This article reviews the current literature to explore the application status, technological advancements, research findings, and challenges faced by digital human GPTs in the field of medical education， and looks forward to the future development directions of digital human GPTs in medical education.


Key Words: digital human GPT; medicine education

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Metaverse in Medicine

ISSN: 3006-4236

Volume 2, Issue 1

March 2025

Pages: 1-64

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Metaverse in Medicine
ISSN: 3006-4236
ZENTIME PUBLISHING CORPORATION LIMITED
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