QR-Code

Comparative performance of large language models and Drugs.com versus Lexicomp for antiseizure medication drug–drug interactions: A cross-sectional study with iterative prompting analysis

Background: Antiseizure medications (ASMs) are frequently co-prescribed and are associated with a high risk of clinically significant drug–drug interactions (DDIs). Large language models (LLMs) are increasingly used for clinical queries, yet their performance in detecting ASM-related DDIs compared w...

Ausführliche Beschreibung

Gespeichert in:
Bibliografische Detailangaben
Hauptverfasser: Maazuddin Mohammed, Mohammed Amer Khan, Vaibhav Chaudhary, Hamzeh Alsaleh, Syeda Bushra Fatima, Biplab Pal
Format: Artigo
Sprache:Inglês
Veröffentlicht: Elsevier 2026-06-01
Schriftenreihe:Exploratory Research in Clinical and Social Pharmacy
Schlagworte:
Online-Zugang:http://www.sciencedirect.com/science/article/pii/S2667276626000314
Tags: Tag hinzufügen
Keine Tags, Fügen Sie das erste Tag hinzu!