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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...

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Библиографические подробности
Главные авторы: Maazuddin Mohammed, Mohammed Amer Khan, Vaibhav Chaudhary, Hamzeh Alsaleh, Syeda Bushra Fatima, Biplab Pal
Формат: Artigo
Язык:Inglês
Опубликовано: Elsevier 2026-06-01
Серии:Exploratory Research in Clinical and Social Pharmacy
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Online-ссылка:http://www.sciencedirect.com/science/article/pii/S2667276626000314
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