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August 24, 2025Open Access

A Multi-AI Agent Framework for Interactive Neurosurgical Education and Evaluation: From Vignettes to Virtual Conversations

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Authors

KSKarl L. SangwonJZJeff ZhangRSRobert Steele

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Overview

This framework improves diagnostic accuracy in neurosurgery using AI interactions with structured clinical data.

Key Points

  • GPT-4o's performance drops significantly in bi-directional communication scenarios, indicating challenges in evaluation methods.
  • Performance improved when integrating objective data with System AI, boosting diagnostic accuracy in conversations.
  • Evaluation utilized specialized AI agents, demonstrating the effectiveness of interactive learning in medical training.
  • The framework suggests traditional evaluation may overestimate AI capabilities, revealing potential for enhancing neurosurgical education.

Cite This Study

Sangwon et al. (2025) studied this question.

synapsesocial.com/papers/68af79ab7567bf4f94ff18b0https://doi.org/10.1101/2025.08.20.25334084
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