MeduAI-SP¶
Product or Programme · All products and programmes
Evidence · 2 claims (2 for) · 1 study (1 causal),q3· 1 of 1 report an effect size · 2 claims rest on one study
Description¶
MeduAI-SP is a web-based multi-agent LLM standardized-patient training platform developed by Yang et al. for medical students to practise clinical interviewing, reasoning, and empathic communication through simulated encounters and automated tutoring and evaluation.
Components¶
Claims¶
- Multi-agent AI standardized patient training improved final OSCE-aligned examination scores compared with a structured non-LLM control condition [+M]
- The largest OSCE-domain improvement from multi-agent scaffolding was in communication performance [+M]
Related Products and Programmes¶
-
Key Sources¶
- Yang, L., Liu, H., Li, S., Jia, R., Xiao, Y., Chen, G., & Lu, L. (2026). Evaluating Scaffolding-Oriented Multi-Agent Large Language Model System for Clinical Interview Training. https://arxiv.org/abs/2609.10939. doi:10.48550/arxiv.2609.10939
Page metadata
| Field | Value |
|---|---|
type |
product |
id |
meduai-sp |
title |
MeduAI-SP |
description |
MeduAI-SP is a web-based multi-agent LLM standardized-patient training platform developed by Yang et al. |
status |
review |
product_kind |
software |
generated |
by process:settle-candidates on 2026-10-10 |
trust |
unverified — no one has confirmed this page's content |
Frontmatter is the page's machine-readable record — see the Schema & Guide.