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clinical-interview-training

topic1 events
papersSEP 12 04:00 UTC

Multi-Agent LLM Scaffolding System Proposed for Clinical Interview Training

Researchers present a multi-agent large language model system designed to support clinical interview training, aiming to ease the resource burden of standardized patient sessions. The scaffolding-based approach is meant to help medical students practice safe and coherent patient interviews amid uncertainty. It is described as an evaluation of that system rather than a deployed product.

agents/medical/education/llm