Large Language Model for Postoperative Clinical Decision Support in a Neurosurgery Ward in the Gambia: A Prospective Pilot Feasibility Study
LLM use was associated with improved plan quality without observed safety concerns, while also prompting clinically meaningful care changes. Larger, controlled studies are needed to determine generalizability, durability of benefit, and patient-centered outcomes.
Authors
- Alexandra J. Golby (ORCID: https://orcid.org/0000-0001-8461-9561)
- Timothy R. Smith (ORCID: https://orcid.org/0000-0001-9607-8985)
- Gabrielle Luiselli (ORCID: https://orcid.org/0000-0001-9051-8425)
- Lamin Janneh
- Omar Arnaout (ORCID: https://orcid.org/0000-0003-3890-8615)
- Ignatius Nguene Esene
- John N. Jabang
- Momodou G. Bah
- Ebrima Kalilu Manneh (ORCID: https://orcid.org/0009-0008-1036-3354)
- Ryan Chrenek
- John D Rolston
- Camejo Sanchez
- Ancha Ceesay
- Makumba Cham
- Zsombor T. Gal
- Saksham Gupta
- Jay Touray
Institutions
- Harvard University (US)
- University of the Gambia (GM)
- University of Bamenda (CM)
- Edward Francis Small Teaching Hospital (GM)
- Massachusetts General Hospital (US)
- Centre Hospitalier National Universitaire de Fann (SN)
- Harvard Global Health Institute (US)
- Penn State Milton S. Hershey Medical Center (US)
Publication Details
- Journal
- Neurosurgery
- Published
- 2026-02-16
- DOI
- https://doi.org/10.1227/neu.0000000000003963
- Primary Topic
- Global Health and Surgery
- Type
- article
- Field-Weighted Citation Impact
- 0.00