A Metaverse-Driven Extended Reality Neck Model for Ultrasound-Guided Invasive Procedures and Surgical Training

Authors

Ting-Chun Kuo
Shana Smith
Chih-Wei Yang
Kuen-Yuan Chen
Yu-Chen Xu
Tzu-Hsuan Huang
Chien-Chang Lee
Jin-Shing Chen
Ming-Tsan Lin
Ming-Hsun Wu

Abstract

Ultrasound-guided procedures demand realism and interactive training tools to develop critical skills. However, traditional simulators often fall short, limiting effective clinical application. This article introduce a metaverse-powered extended reality (XR) neck simulator that address these limitations. Our XR neck leverages high-fidelity 3D models, haptic feedback, and real-time dynamic simulations to create an immersive, collaborative, and ecofriendly training environment for healthcare professionals. Gamified metrics assess skill proficiency, while AI-powered guidance standardizes techniques. We found demonstrate significant improvements in procedural knowledge, skill proficiency, and safety awareness. This innovative XR model not only reduces costs and reliance on animal model but also aligns with carbon reduction goals. By setting a new standard in medical education, the metaverse-driven XR simulator offers promising advancements in patient safety and care quality.

First Page

176

Last Page

181

DOI

10.6145/jme.202409_28(3).0006

Recommended Citation

Kuo, Ting-Chun; Smith, Shana; Yang, Chih-Wei; Chen, Kuen-Yuan; Xu, Yu-Chen; Huang, Tzu-Hsuan; Lee, Chien-Chang; Chen, Jin-Shing; Lin, Ming-Tsan; and Wu, Ming-Hsun (2024) "A Metaverse-Driven Extended Reality Neck Model for Ultrasound-Guided Invasive Procedures and Surgical Training," Journal of Medical Education: Vol. 28: Iss. 3, Article 2.
DOI: [https://doi.org/]10.6145/jme.202409_28(3).0006
Available at: https://jme.researchcommons.org/journal/vol28/iss3/2