A comparison of large language model-generated and published perioperative neurocognitive disorder recommendations: a cross-sectional web-based analysis
Large language models can generate perioperative neurocognitive disorder recommendations that align closely with published guidelines. However, further validation and integration of clinician feedback are required before clinical application.
Authors
- Başak Ceyda Meço (ORCID: https://orcid.org/0000-0003-2951-9634)
- Susana Vacas (ORCID: https://orcid.org/0000-0002-4099-3946)
- Odmara L. Barreto Chang (ORCID: https://orcid.org/0000-0002-4781-404X)
- Finn M. Radtke (ORCID: https://orcid.org/0000-0001-5260-5384)
- Mia Gisselbaek (ORCID: https://orcid.org/0000-0002-2296-8106)
- Mélanie Suppan (ORCID: https://orcid.org/0000-0002-8807-9619)
- Arnout Devos (ORCID: https://orcid.org/0000-0002-9425-1163)
- Mervyn Maze (ORCID: https://orcid.org/0000-0001-9794-2472)
- Joana Berger‐Estilita (ORCID: https://orcid.org/0000-0002-8695-4264)
- Idit Matot (ORCID: https://orcid.org/0000-0003-4830-222X)
- Sarah Saxena (ORCID: https://orcid.org/0000-0002-7510-3579)
Institutions
- University of Geneva (CH)
- University of Mons (BE)
- Harvard University (US)
- Ankara University (TR)
- Tel Aviv University (IL)
- University of Southern Denmark (DK)
- University of California, San Francisco (US)
- ETH Zurich (CH)
- Massachusetts General Hospital (US)
- Institute for Biomedical Engineering (CH)
- University Hospital of Geneva (CH)
- Centre for Health Technology and Services Research (PT)
- Sjællands Universitetshospital, Nykøbing F. (DK)
Publication Details
- Journal
- British Journal of Anaesthesia
- Published
- 2025-02-07
- DOI
- https://doi.org/10.1016/j.bja.2025.01.001
- Citations
- 9
- Primary Topic
- Intensive Care Unit Cognitive Disorders
- Type
- article
- Field-Weighted Citation Impact
- 13.91
Funders
- National Institutes of Health
- National Institute of General Medical Sciences