Schwenderling Lovis, Hanke Laura Isabel, Holst Undine, Huettl Florentine, Joeres Fabian, Huber Tobias, Hansen Christian
Faculty of Computer Science and Research Campus STIMULATE, Otto-von-Guericke University of Magdeburg, Magdeburg, Germany.
Clinic for General, Visceral and Transplant Surgery, University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany.
Int J Comput Assist Radiol Surg. 2025 May;20(5):949-958. doi: 10.1007/s11548-024-03311-y. Epub 2025 Jan 4.
Structured abdominal examination is an essential part of the medical curriculum and surgical training, requiring a blend of theory and practice from trainees. Current training methods, however, often do not provide adequate engagement, fail to address individual learning needs or do not cover rare diseases.
In this work, an application for structured Abdominal Examination Training using Augmented Reality (AETAR) is presented. Required theoretical knowledge is displayed step by step via virtual indicators directly on the associated body regions. Exercises facilitate building up the routine in performing the examination. AETAR was evaluated in an exploratory user study with medical students (n=12) and teaching surgeons (n=2).
Learning with AETAR was described as fun and beneficial. Usability (SUS=73) and rated suitability for teaching were promising. All students improved in a knowledge test and felt more confident with the abdominal examination. Shortcomings were identified in the area of interaction, especially in teaching examination-specific movements.
AETAR represents a first approach to structured abdominal examination training using augmented reality. The application demonstrates the potential to improve educational outcomes for medical students and provides an important foundation for future research and development in digital medical education.
结构化腹部检查是医学课程和外科培训的重要组成部分,要求学员将理论与实践相结合。然而,当前的培训方法往往无法提供足够的参与度,无法满足个体学习需求,也未涵盖罕见疾病。
在这项工作中,展示了一种使用增强现实的结构化腹部检查培训应用程序(AETAR)。所需的理论知识通过虚拟指示器直接在相关身体部位上逐步显示。练习有助于建立进行检查的常规流程。在一项探索性用户研究中,对医学生(n = 12)和教学外科医生(n = 2)进行了AETAR评估。
使用AETAR学习被描述为有趣且有益。可用性(系统可用性量表[SUS]=73)和教学适用性评分前景良好。所有学生在知识测试中都有所进步,并且对腹部检查更有信心。在交互方面发现了不足之处,特别是在教授特定检查动作方面。
AETAR是使用增强现实进行结构化腹部检查培训的首次尝试。该应用程序展示了改善医学生教育成果的潜力,并为数字医学教育的未来研究和发展提供了重要基础。