Systematic mapping review evaluates performance of large language models in identifying drug-drug interactions, highlighting their implications for patient safety.
Background Drug-drug interaction (DDI) is a global health concern affecting patient safety and treatment outcomes. Large language models (LLMs), such as ChatGPT, offer accessible alternatives; however, their effectiveness in DDI analysis remains unclear. This review evaluates the current evidence on the performance of LLM-based chatbots in identifying DDIs.
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Mondal et al. (2025) studied this question.
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