Toward structured abdominal examination training using augmented reality.

IF 2.3 3区医学 Q3 ENGINEERING, BIOMEDICAL

International Journal of Computer Assisted Radiology and Surgery Pub Date : 2025-01-04 DOI:10.1007/s11548-024-03311-y

Lovis Schwenderling, Laura Isabel Hanke, Undine Holst, Florentine Huettl, Fabian Joeres, Tobias Huber, Christian Hansen

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引用次数: 0

Abstract

Purpose: 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.

Methods: 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).

Results: 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.

Conclusion: 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.

查看原文本刊更多论文

利用增强现实技术进行结构化腹部检查训练。

目的：结构化腹部检查是医学课程和外科培训的重要组成部分，要求学员理论与实践相结合。然而，目前的培训方法往往没有提供充分的参与，未能满足个人的学习需要，或者没有涵盖罕见疾病。方法：本文介绍了一种基于增强现实（AETAR）的结构化腹部检查训练的应用。所需的理论知识通过虚拟指标直接在相关的身体区域上逐步显示。练习有助于建立例行检查。AETAR在一项探索性用户研究中进行了评估，研究对象包括医学院学生（n=12）和外科教学医生（n=2）。结果：使用AETAR学习是有趣和有益的。可用性（SUS=73）和评分适合教学是有希望的。所有学生在知识测试中都有所提高，并且对腹部检查更有信心。在互动方面发现了缺点，特别是在教学考试特定动作方面。结论：AETAR代表了使用增强现实技术进行结构化腹部检查训练的第一种方法。该应用程序展示了改善医学生教育成果的潜力，并为未来数字医学教育的研究和发展提供了重要基础。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

International Journal of Computer Assisted Radiology and Surgery ENGINEERING, BIOMEDICAL-RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING

CiteScore

5.90

自引率

6.70%

发文量

243

审稿时长

6-12 weeks

期刊介绍： The International Journal for Computer Assisted Radiology and Surgery (IJCARS) is a peer-reviewed journal that provides a platform for closing the gap between medical and technical disciplines, and encourages interdisciplinary research and development activities in an international environment.