Artificial intelligence-assisted personal protective equipment donning and doffing training for health professions students and healthcare workers: a scoping review

AI shows strong potential to enhance PPE training through real-time feedback and personalized skill development. However, the current evidence base is limited to five studies conducted exclusively in China and Australia, which restricts the geographical generalizability of the findings. Future research should explore integrated training curricula, long-term effectiveness, and cost-efficient AI implementations.

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Publication Details

Journal
BMC Medical Education
Published
2025-12-23
DOI
https://doi.org/10.1186/s12909-025-08498-5
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.00
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article

Artificial intelligence-assisted personal protective equipment donning and doffing training for health professions students and healthcare workers: a scoping review

Minhong Cai, Yu Lv, Pingping Wang, Qian Xiang
BMC Medical Education
Artificial Intelligence in Healthcare and Education
article

Artificial intelligence-assisted personal protective equipment donning and doffing training for health professions students and healthcare workers: a scoping review

Minhong Cai, Yu Lv, Pingping Wang, Qian Xiang
article en

Abstract

AI shows strong potential to enhance PPE training through real-time feedback and personalized skill development. However, the current evidence base is limited to five studies conducted exclusively in China and Australia, which restricts the geographical generalizability of the findings. Future research should explore integrated training curricula, long-term effectiveness, and cost-efficient AI implementations.

BMC Medical EducationVol. 26(1)
University of Electronic Science and Technology of China (CN)
Openalex Percentile: Top 40%
Artificial Intelligence in Healthcare and Education
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