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Can Large Language Models Be a Viable Tool for Consensus Working Groups? Experience of the Ventral Rectopexy Expert Consensus Group

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Year: 2026
Type: article
Source: Diseases of the Colon & Rectum
DOI: 10.1097/dcr.0000000000004058
Authors: Frank G. Lee, Ellen L. Larson, Jane V. Vermunt, Cornelius A. Thiels, Peter Christensen, Rowan J. Collinson, Julie A. Cornish, Andre D’Hoore, Brooke H. Gurland, Anders Mellgren, Carlo Ratto, Frederic Ris, Andrew R.L. Stevenson, Liliana G. Bordeianou, William R.G. Perry, On behalf of the Ventral Rectopexy Consensus AI Group and the Ventral Rectopexy Working Group
Institutions: Mayo Clinic, Aarhus University Hospital, Auckland City Hospital, Cardiff and Vale University Health Board, Universitair Ziekenhuis Leuven, Stanford Medicine, King Faisal Specialist Hospital & Research Centre, Agostino Gemelli University Polyclinic, University Hospital of Geneva, Royal Brisbane and Women's Hospital, Massachusetts General Hospital
Language: English

Topic: Artificial Intelligence in Healthcare and Education
Subfield: Health Informatics
Field: Medicine
Domain: Health Sciences

Open Access status: closed

Funder: National Institutes of Health
Award: Multidisciplinary Training in Digestive Diseases
OpenAlex ID: W7118728631
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