Article

Relationship Extraction for Adverse Drug Events in Clinical Notes Using Large Language Models

2026-06-01

Abstract excerpt

<h4>Background</h4> Adverse drug events (ADEs) are a critical indicator of patient safety but are often documented only in free-text clinical notes. The potential of recent advances in natural language processing (NLP), particularly generative large language models (LLMs), to identify ADEs remains understudied. This study aimed to compare the performance of multiple LLMs in identifying ADE-Drug relationships in i...

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Literature Corpus work: d0ee40ab-2505-5cb3-a519-2e0e0006741c
DOI: 10.64898/2026.05.28.26354362

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