Paediatric rare diseases: Can large language models assist off‐label prescribing?
LLMs are capable of retrieving and synthesizing biomedical information, but performance varies depending on query type and search mode. These tools speed up retrieving relevant information to assess off-label prescribing appropriateness. Despite the promise of artificial intelligence, human oversight remains critical to ensure data accuracy and reliability.
Authors
- Giulia Zamagni (ORCID: https://orcid.org/0000-0002-4949-3219)
- Antonio Arbo (ORCID: https://orcid.org/0000-0001-8937-580X)
- Gilda Paternuosto
- Anna Flamigni
Institutions
- University of Trieste (IT)
- IRCCS Materno Infantile Burlo Garofolo (IT)
Publication Details
- Journal
- British Journal of Clinical Pharmacology
- Published
- 2025-07-16
- DOI
- https://doi.org/10.1002/bcp.70168
- Citations
- 2
- Primary Topic
- Pharmaceutical studies and practices
- Type
- article
- Field-Weighted Citation Impact
- 6.99
Funders
- Ministero della Salute