Can large language models detect drug–drug interactions leading to adverse drug reactions?

Can large language models detect drug–drug interactions leading to adverse drug reactions?

Background: Drug–drug interactions (DDI) are an important cause of adverse drug reactions (ADRs). Could large language models (LLMs) serve as valuable tools for pharmacovigilance specialists in detecting DDIs that lead to ADR notifications? Objective: To compare the performance of three LLMs (ChatGP...

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Bibliographic Details
Main Authors: Justine Sicard, François Montastruc, Coline Achalme, Annie Pierre Jonville-Bera, Paul Songue, Marina Babin, Thomas Soeiro, Pauline Schiro, Claire de Canecaude, Romain Barus
Format: Article
Language:English
Published: SAGE Publishing 2025-05-01
Series:Therapeutic Advances in Drug Safety
Online Access:https://doi.org/10.1177/20420986251339358
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https://doi.org/10.1177/20420986251339358

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