MR Microsurgical Suture Training System with Level-Appropriate Support

要旨

The integration of advanced technologies in healthcare necessitates the development of systems accommodating the daily routines in medical practices. Neurosurgeons, in particular, require extensive practice in microsurgical suturing in the long term, even in the busy routine of a medical practice. This study collaboratively developed a Mixed Reality system with neurosurgeons to support self-training in microscopic suturing. Based on the neurosurgeons' opinions, we implemented a level-appropriate microsurgical suture training system. For novices, the system offers shadow-matching training to support the practice of precise movements under the high-sensitivity environment of the microscope. For intermediates, it provides a real-time feedback system, which allows users to practice attention to details. Evaluation involved testing the novice system on students with no medical background and the intermediate system on neurosurgery residents. The effectiveness of the system was demonstrated through the experimental results and subsequent discussion.

著者
Yuka Tashiro
Tokyo Institute of Technology, Meguro, Tokyo, Japan
Shio Miyafuji
Tokyo Institute of Technology, Tokyo, Japan
Yusuke Kojima
Tokyo Institute of Technology, Meguro, Japan
Satoshi Kiyofuji
The University of Tokyo, Bunkyo, Tokyo, Japan
Taichi Kin
The University of Tokyo, Tokyo, Japan
Takeo Igarashi
The University of Tokyo, Tokyo, Japan
Hideki Koike
Tokyo Institute of Technology, Tokyo, Japan
論文URL

https://doi.org/10.1145/3613904.3642324

動画

会議: CHI 2024

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2024.acm.org/)

セッション: Healthcare Training

318B
5 件の発表
2024-05-14 20:00:00
2024-05-14 21:20:00