Methodology
Open Access
Published September 30, 2024

How to design a real-world study for the clinical application of MGPT

YANG Dawei
YANG Dawei
Department of Respiratory and Critical Care Medicine, Zhongshan Hospital, Fudan University, Shanghai 200032, China; Department of Respiratory and Critical Care Medicine, Xiamen Hospital, Zhongshan Hospital, Fudan University, Xiamen 361015, Fujian, China; Shanghai Respiratory Internet of Things Medical Engineering Technology Research Center, Shanghai 200032, China; Shanghai Institute of Respiratory Diseases, Shanghai 200032, China; Chinese Lung Cancer Prevention and Control Alliance, Shanghai 200032, China; International Association of Space Medicine, Suzhou 215163, Jiangsu, China
,
XUAN Jianwei
XUAN Jianwei
Institute of Pharmaceutical Economics, School of Pharmacy, Sun Yat-sen University, Guangzhou 510006, Guangdong, China
,
JIANG Weipeng
JIANG Weipeng
Department of Respiratory and Critical Care Medicine, Zhongshan Hospital, Fudan University, Shanghai 200032, China; Shanghai Respiratory Internet of Things Medical Engineering Technology Research Center, Shanghai 200032, China; Shanghai Institute of Respiratory Diseases, Shanghai 200032, China; Chinese Lung Cancer Prevention and Control Alliance, Shanghai 200032, China; International Association of Space Medicine, Suzhou 215163, Jiangsu, China
,
BAI Chunxue
BAI Chunxue
bai.chunxue@zs-hospital.sh.cn
Department of Respiratory and Critical Care Medicine, Zhongshan Hospital, Fudan University, Shanghai 200032, China; Department of Respiratory and Critical Care Medicine, Xiamen Hospital, Zhongshan Hospital, Fudan University, Xiamen 361015, Fujian, China; Shanghai Respiratory Internet of Things Medical Engineering Technology Research Center, Shanghai 200032, China; Shanghai Institute of Respiratory Diseases, Shanghai 200032, China; Chinese Lung Cancer Prevention and Control Alliance, Shanghai 200032, China; International Association of Space Medicine, Suzhou 215163, Jiangsu, China
Author information
Article notes
Funding
YANG Dawei, Associate Professor, Associate Chief Physician. E‑mail: yang.dawei@zs‑hospital.sh.cn

Corresponding author. BAI Chunxue. Tel: 021‑64041990, E‑mail: bai.chunxue@zs‑hospital.sh.cn

Received  September 20, 2024; Accepted  September 29, 2024; Published  September 30, 2024
Supported by National Natural Science Foundation of China(82170110), Shanghai Pujiang Talent Program(20PJ1402400), Project of Promoting Ability of Medical Science Popularization for Young Talents in Shanghai(JKKPYC-2023-A20), Project of Establishment of Shanghai Engineering Technology Research Center in 2020(20DZ2254400), Natural Science Foundation of Fujian Province(2022D014).
Methodology
Open Access
How to design a real-world study for the clinical application of MGPT
YANG Dawei
YANG Dawei
Department of Respiratory and Critical Care Medicine, Zhongshan Hospital, Fudan University, Shanghai 200032, China; Department of Respiratory and Critical Care Medicine, Xiamen Hospital, Zhongshan Hospital, Fudan University, Xiamen 361015, Fujian, China; Shanghai Respiratory Internet of Things Medical Engineering Technology Research Center, Shanghai 200032, China; Shanghai Institute of Respiratory Diseases, Shanghai 200032, China; Chinese Lung Cancer Prevention and Control Alliance, Shanghai 200032, China; International Association of Space Medicine, Suzhou 215163, Jiangsu, China
,
XUAN Jianwei
XUAN Jianwei
Institute of Pharmaceutical Economics, School of Pharmacy, Sun Yat-sen University, Guangzhou 510006, Guangdong, China
,
JIANG Weipeng
JIANG Weipeng
Department of Respiratory and Critical Care Medicine, Zhongshan Hospital, Fudan University, Shanghai 200032, China; Shanghai Respiratory Internet of Things Medical Engineering Technology Research Center, Shanghai 200032, China; Shanghai Institute of Respiratory Diseases, Shanghai 200032, China; Chinese Lung Cancer Prevention and Control Alliance, Shanghai 200032, China; International Association of Space Medicine, Suzhou 215163, Jiangsu, China
,
BAI Chunxue
BAI Chunxue
bai.chunxue@zs-hospital.sh.cn
Department of Respiratory and Critical Care Medicine, Zhongshan Hospital, Fudan University, Shanghai 200032, China; Department of Respiratory and Critical Care Medicine, Xiamen Hospital, Zhongshan Hospital, Fudan University, Xiamen 361015, Fujian, China; Shanghai Respiratory Internet of Things Medical Engineering Technology Research Center, Shanghai 200032, China; Shanghai Institute of Respiratory Diseases, Shanghai 200032, China; Chinese Lung Cancer Prevention and Control Alliance, Shanghai 200032, China; International Association of Space Medicine, Suzhou 215163, Jiangsu, China
Author information
YANG Dawei, Associate Professor, Associate Chief Physician. E‑mail: yang.dawei@zs‑hospital.sh.cn

Corresponding author. BAI Chunxue. Tel: 021‑64041990, E‑mail: bai.chunxue@zs‑hospital.sh.cn

Article notes
Received  September 20, 2024; Accepted  September 29, 2024; Published  September 30, 2024
Funding
Supported by National Natural Science Foundation of China(82170110), Shanghai Pujiang Talent Program(20PJ1402400), Project of Promoting Ability of Medical Science Popularization for Young Talents in Shanghai(JKKPYC-2023-A20), Project of Establishment of Shanghai Engineering Technology Research Center in 2020(20DZ2254400), Natural Science Foundation of Fujian Province(2022D014).
Published September 30, 2024
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Abstract

Designing real-world studies based on the clinical application of medical generative pre-trained transformer (MGPT) requires careful consideration and detailed planning of the research process. Compared to traditional clinical studies, such studies involve not only the evaluation of technology but also considerations of healthcare service efficiency, medical costs, and other aspects. This article elaborates on the design scheme of real-world studies on the clinical application of MGPT to ensure the high quality and reliability of the research, providing a solid evidence base for the application of artificial intelligence in the medical field and making a positive contribution to driving continuous progress and innovation in the entire healthcare industry.


Key Words: medical generative pre-trained transformer; artificial intellingence; real-world study

Metaverse in Medicine

ISSN: 3006-4236

Volume 1, Issue 3

September 2024

Pages: 1-64

PDF CITE Accesses: 5
Metaverse in Medicine
ISSN: 3006-4236
ZENTIME PUBLISHING CORPORATION LIMITED
On This Page
CITE
On This Page
Abstract