DeepSeek-AI-enhanced virtual reality training for mass casualty management: Leveraging machine learning for personalized instructional optimization
This study demonstrates the potential of integrating AI with VR training to create a more personalized and effective learning experience for medical professionals. The findings underscore the importance of adaptive, data-driven approaches in medical education, particularly in high-stakes environments such as emergency medicine. Future research should explore hybrid training models and incorporate physiological data to further enhance the efficacy of VR-based training systems.
Authors
- Mingyu Pei
- Lei Shi (ORCID: https://orcid.org/0000-0003-1628-1559)
- Guozheng Qiu (ORCID: https://orcid.org/0009-0008-8458-9778)
- Xibin Xu
- Wan Chen (ORCID: https://orcid.org/0000-0002-6140-8136)
- Yutao Tang (ORCID: https://orcid.org/0000-0002-5981-6878)
- Liwen Lyu (ORCID: https://orcid.org/0009-0006-8676-6163)
- Zhe Li (ORCID: https://orcid.org/0009-0004-9945-1561)
Institutions
- The People's Hospital of Guangxi Zhuang Autonomous Region (CN)
Publication Details
- Journal
- PLoS ONE
- Published
- 2025-06-11
- DOI
- https://doi.org/10.1371/journal.pone.0321352
- Citations
- 1
- Primary Topic
- COVID-19 diagnosis using AI
- Type
- article
- Field-Weighted Citation Impact
- 1.36
Funders
- Natural Science Foundation of Guangxi Zhuang Autonomous Region