arXiv cs.CL
· Papers
Human-in-the-Loop Large Language Model Framework for Identification of Cutaneous Immune-Related Adverse Events
arXiv:2607.20428v1 Announce Type: new Abstract: 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 unassisted manual review, the LLM-assisted workflow imp