biostudies-literatureUnknown30(6)Luo X<h4>Objectives</h4>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.<h4>Design and setting</h4>International online Delphi study.<h4>Participants</h4>International experts in medicine and artificial intelligence.<h4>Main outcome measures</h4>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).<h4>Results</h4>The development proceBMJ evidence-based medicine390-400https://www.ebi.ac.uk/biostudies/studies/S-EPMC12703294biostudies-literatureReporting guideline for the use of Generative Artificial intelligence tools in MEdical Research: the GAMER Statement.PMC12703294Rodrigues RPersaud NSu KPChumakov EMohan SKLitvin AMann SPYu QXDaher MRanisch RChen YBian ZWang YD'Amico RChen QGiuffre MEarp BDRighetto LLi DYang WEriksen AVKivrak ALee MSLi SBegagic EQureshi RMoraes FYXu XEgli ACurbo SFeng SRamanathan MLiu PNorris SLAli SRHsu CWQuiroga-Garza AKhanna SMartinez-Ezquerro JDSharp GBelisle-Pipon JCMoons PTham YCEstill JGAMER Working GroupBagde HKo EABlease COzaki AAnderson NDecker HSubhi YLuo XLam KfalseReporting guideline for the use of Generative Artificial intelligence tools in MEdical Research: the GAMER Statement.<h4>Objectives</h4>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.<h4>Design and setting</h4>International online Delphi study.<h4>Participants</h4>International experts in medicine and artificial intelligence.<h4>Main outcome measures</h4>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).<h4>Results</h4>The development proce2025-01-01T00:00:00Z2025 Dec2026-06-07T05:00:15.151Z2026-06-07T03:06:35.671ZS-EPMC127032944036023910.1136/bmjebm-2025-113825