Recommendations for disclosure of artificial intelligence in scientific writing and publishing: a regional anesthesia and pain medicine modified Delphi study
Our modified Delphi study identified practical recommendations on AI use during the scientific writing and editorial process. The workgroup highlighted the need for transparency, human accountability, protection of patient confidentiality, editorial oversight, and the need for iterative updates. The proposed framework enables authors and editors to harness AI's efficiencies while maintaining the fundamental principles of responsible scientific communication and may serve as an example for other journals.
Authors
- Brittani Bungart (ORCID: https://orcid.org/0000-0001-5705-3742)
- Yian Chen (ORCID: https://orcid.org/0000-0002-5971-9111)
- Thomas Volk (ORCID: https://orcid.org/0000-0001-5175-7159)
- Lichy Han (ORCID: https://orcid.org/0000-0002-5785-0968)
- M. D. Wiles (ORCID: https://orcid.org/0000-0003-2299-0060)
- Hannah Lonsdale (ORCID: https://orcid.org/0000-0001-9953-8844)
- Steve Coppens (ORCID: https://orcid.org/0000-0002-6026-7757)
- Daniel I. Sessler (ORCID: https://orcid.org/0000-0001-9932-3077)
- Michael Gofeld (ORCID: https://orcid.org/0000-0001-7372-4171)
- Anuj Bhatia (ORCID: https://orcid.org/0000-0001-6292-8654)
- Vivian Ip (ORCID: https://orcid.org/0000-0001-6158-4415)
- Christopher Cheng (ORCID: https://orcid.org/0000-0001-9112-9464)
- Kristin L. Schreiber (ORCID: https://orcid.org/0000-0002-7361-2214)
- Garrett W. Burnett (ORCID: https://orcid.org/0000-0003-0565-9499)
- Michael R. Fettiplace (ORCID: https://orcid.org/0000-0001-6946-8355)
- Vesela Kovacheva (ORCID: https://orcid.org/0000-0001-7367-3394)
- Richard D. Urman (ORCID: https://orcid.org/0000-0002-0516-5977)
- Thomas T. Joseph (ORCID: https://orcid.org/0000-0003-1323-3244)
- Steven L. Orebaugh (ORCID: https://orcid.org/0000-0001-9517-6575)
- Rodney A. Gabriel (ORCID: https://orcid.org/0000-0003-4443-0021)
- Edward R. Mariano (ORCID: https://orcid.org/0000-0003-2735-248X)
- Christopher L. Wu (ORCID: https://orcid.org/0000-0002-4484-0787)
Institutions
- Hospital for Special Surgery (US)
- Brigham and Women's Hospital (US)
- Outcomes Research Consortium (US)
- University of Toronto (CA)
- University of Washington (US)
- VA Palo Alto Health Care System (US)
- Cornell University (US)
- Toronto Western Hospital (CA)
- South Health Campus (CA)
- University of California San Diego (US)
- University of Illinois Chicago (US)
- University of Chicago (US)
- UPMC Health System (US)
- Sheffield Teaching Hospitals NHS Foundation Trust (GB)
- University of Pittsburgh Medical Center (US)
- The University of Texas Health Science Center (US)
- Weill Cornell Medicine (US)
- The Ohio State University (US)
- Sheffield Hallam University (GB)
- NOSM University (CA)
- University of Pennsylvania (US)
- Vanderbilt University Medical Center (US)
- Saarland University (DE)
- The University of Texas Health Science Center at Houston (US)
- Stanford University (US)
- Icahn School of Medicine at Mount Sinai (US)
- KU Leuven (BE)
Publication Details
- Journal
- Regional Anesthesia & Pain Medicine
- Published
- 2025-09-02
- DOI
- https://doi.org/10.1136/rapm-2025-106852
- Citations
- 8
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 5.23
Funders
- National Heart, Lung, and Blood Institute
- National Institute of General Medical Sciences