Reporting guidelines for studies involving generative artificial intelligence applications: what do I use, and when?

Bright Huo; Gary S Collins; Giovanni E Cacciamani; Gordon Guyatt

doi:10.1038/s41746-025-02113-z

Reporting guidelines for studies involving generative artificial intelligence applications: what do I use, and when?

NPJ Digit Med. 2025 Nov 7;8(1):646. doi: 10.1038/s41746-025-02113-z.

Authors

Bright Huo^{1

2}, Gary S Collins^{3

4}, Giovanni E Cacciamani^{5

6}, Gordon Guyatt^{7

8}

Affiliations

¹ Division of General Surgery, Department of Surgery, McMaster University, Hamilton, Canada. brighthuo@dal.ca.
² Guidelines Committee, European Association for Endoscopic Surgery, Eindhoven, The Netherlands. brighthuo@dal.ca.
³ Department of Applied Health Sciences, School of Health Sciences, College of Medicine and Health, University of Birmingham, Birmingham, UK.
⁴ NIHR Birmingham Biomedical Research Centre, University Hospitals Birmingham NHS Foundation Trust and University of Birmingham, Birmingham, UK.
⁵ USC Institute of Urology and Catherine and Joseph Aresty Department of Urology, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
⁶ AI Center at USC Urology, University of Southern California, Los Angeles, CA, USA.
⁷ Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Canada.
⁸ Department of Medicine, McMaster University, Hamilton, Canada.

Abstract

With a growing number of studies applying generative artificial intelligence (GAI) models for health purposes, reporting standards are being developed to guide authors in this space. We describe the currently available reporting guidelines that apply to GAI models and provide an overview of upcoming reporting standards. Investigators must remain up-to-date with the most applicable tools to guide the comprehensive reporting of their research as we integrate GAI in healthcare.

Publication types

Letter