Reporting guideline for the use of Generative Artificial intelligence tools in MEdical Research: the GAMER Statement
Chinese Academy of Medical Sciences & Peking Union Medical College · Lanzhou University · +22 more institutions
Abstract
Generative artificial intelligence (GAI) tools can enhance the quality and efficiency of medical research, but their improper use may result in plagiarism, academic fraud and unreliable findings. Transparent reporting of GAI use is essential, yet existing guidelines from journals and institutions are inconsistent, with no standardised principles. DESIGN AND SETTING: International online Delphi study.
International experts in medicine and artificial intelligence. MAIN OUTCOME MEASURES: The primary outcome measure is the consensus level of the Delphi expert panel on the items of inclusion criteria for GAMER (Rreporting guideline for the use of Generative Artificial intelligence tools in MEdical Research).
Citation impact
- FWCI
- 22.02
- Percentile
- 100%
- References
- 74
Authors
16- XLXufei LuoCorresponding
Chinese Academy of Medical Sciences & Peking Union Medical College, Lanzhou University
- YCYih Chung Tham
National University of Singapore, Singapore National Eye Center, Singapore Eye Research Institute, Duke-NUS Medical School
- MGMauro Giuffrè
University of Trieste, Yale University
- RRRobert Ranisch
University of Applied Sciences Potsdam
- MDMohammad Daher
Hôtel-Dieu de France
Topics & keywords
- Declaration
- Delphi method
- Checklist
- Transparency (behavior)
- Delphi
- Computer science
- Guideline
- Artificial intelligence