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Development and Validation of a Large Language Model–Based System for Medical History-Taking Training: Prospective Multicase Study on Evaluation Stability, Human-AI Consistency, and Transparency
6
Zitationen
8
Autoren
2025
Jahr
Abstract
Our data showed that AMTES demonstrates significant educational value through its LLM-based virtual SPs, which successfully provided authentic clinical dialogs with high response accuracy and delivered consistent, transparent educational feedback. Combined with strong user approval, these findings highlight AMTES's potential as a valuable, adaptable, and generalizable tool for medical history-taking training across various educational contexts.
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