Open access
Oct 2026
Enhancing cardiovascular consultation training with a multi-agent virtual patient framework: a multi-model comparative evaluation study
Incomplete cardiovascular history-taking and suboptimal risk-factor assessment are primary contributors to delayed diagnosis and inconsistent guideline adherence. While Large Language Model (LLM)-based virtual patients (VPs) offer a scalable solution for standardized training, single-agent systems often suffer fr...
Xiao-Wei Xu, Tao Zhang, Y. Qu et al.
· European Heart Journal · 0 citations