Comparative evaluation of artificial intelligence platforms and drug interaction screening databases using real-world patient data
Although LLMs show promise as complementary tools in DDI screening, as they proved effective in identifying true interactions, they generate clinically inaccurate information due to hallucinations, which limits their reliability as standalone screening tools. Consequently, while LLMs could support clinical pharmacists in polypharmacy management, their outputs must always undergo professional validation to ensure patient safety.
Authors
- Amir Reza Ashraf (ORCID: https://orcid.org/0000-0003-0339-5653)
- Róbert György Vida (ORCID: https://orcid.org/0000-0003-1176-0251)
- Mátyás Káplár (ORCID: https://orcid.org/0000-0003-1474-8151)
- András Fittler (ORCID: https://orcid.org/0000-0002-8243-6179)
- Bálint Márk Domián
Institutions
- University of Pannonia (HU)
- University of Pecs (HU)
Publication Details
- Journal
- Exploratory Research in Clinical and Social Pharmacy
- Published
- 2025-09-09
- DOI
- https://doi.org/10.1016/j.rcsop.2025.100655
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.00