S. Alzaidi

Relationship extraction for adverse drug events in clinical notes using large language models: a retrospective cross-sectional study.

BACKGROUND 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...