Human-in-the-loop large language model framework for identification of cutaneous immune-related adverse events
This study evaluated a retrieval-augmented, multi-agent large language model (LLM)–driven, human-in-the-loop framework for detecting cutaneous immune-related adverse events (cirAEs) from clinical notes. Compared with the unassisted manual-review group, the LLM-assisted group demonstrated higher accuracy (F1 = 0.88 vs 0...
Charles Lu, Olivia Burke, Debby Cheng et al.
· npj Precision Oncology · 0 citations