Human-in-the-loop LLM framework improves detection of cutaneous immune-related adverse events in clinical notes; study reports higher accuracy and agreement vs manual review
Read the original at arxiv.org→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...
Original headline: "Human-in-the-Loop Large Language Model Framework for Identification of Cutaneous Immune-Related Adverse Events"
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- Jul 24, 04:00 UTC arXiv cs.CL lead source Human-in-the-Loop Large Language Model Framework for Identification of Cutaneous Immune-Related Adverse Events