Comparison of theoretical assessment scores between VR+ AI group and traditional training group.

Comparison of theoretical assessment scores between VR+ AI group and traditional training group.

<p>Comparison of theoretical assessment scores between VR+ AI group and traditional training group.</p>

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Bibliographic Details
Main Author:	Zhe Li (219258) (author)
Other Authors:	Lei Shi (8144) (author), Mingyu Pei (21526693) (author), Wan Chen (592174) (author), Yutao Tang (6893096) (author), Guozheng Qiu (21405170) (author), Xibin Xu (1871263) (author), Liwen Lyu (21405173) (author)
Published:	2025
Subjects:	Biotechnology Science Policy Mental Health Biological Sciences not elsewhere classified Information Systems not elsewhere classified redesigning complex scenarios random forest models provide actionable recommendations principal component analysis performing group excelling mass casualty management identify key predictors clinical case analysis stimulating learning interest effective learning experience integrating artificial intelligence machine learning models leveraging machine learning training evaluation survey predict performance outcomes personalized feedback reports generate personalized feedback utilizing clustering analysis incorporate physiological data analyze trainee performance deepseek ai framework high error rates machine learning error rates integrating ai training system error patterns xlink "> vr training virtual reality version 4 trauma assessment targeted improvement study demonstrates study aimed stakes environments question assessment pca ), medical professionals medical education gini index generated based future research findings underscore emergency medicine driven approaches descriptive statistics correlation analyses assessed using 4 %)
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