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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| Main Authors: | , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
SAGE Publishing
2025-05-01
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| Series: | Therapeutic Advances in Drug Safety |
| Online Access: | https://doi.org/10.1177/20420986251339358 |
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