Large language models and the assessment of obstetric anaesthetic care from medical records
Large language models and the assessment of obstetric anaesthetic care from medical records Toh and Hird [1] provide a timely account of how generalpurpose large language models (LLMs) may interpret obstetric anaesthetic care when presented with simulated maternity records.Of particular concern is their finding that
Authors
- Cian Hurley (ORCID: https://orcid.org/0009-0004-5501-5215)
- R. Kearsley (ORCID: https://orcid.org/0000-0002-2536-616X)
- Gavin Connolly (ORCID: https://orcid.org/0000-0001-6419-4623)
Institutions
- Mater Misericordiae University Hospital (IE)
Publication Details
- Journal
- Anaesthesia
- Published
- 2026-11-08
- DOI
- https://doi.org/10.1111/anae.70461
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.00