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Open Access 04-01-2025 | Original Article

Toward structured abdominal examination training using augmented reality

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

Published in: International Journal of Computer Assisted Radiology and Surgery

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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.
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Metadata
Title
Toward structured abdominal examination training using augmented reality
Authors
Lovis Schwenderling
Laura Isabel Hanke
Undine Holst
Florentine Huettl
Fabian Joeres
Tobias Huber
Christian Hansen
Publication date
04-01-2025
Publisher
Springer International Publishing
Published in
International Journal of Computer Assisted Radiology and Surgery
Print ISSN: 1861-6410
Electronic ISSN: 1861-6429
DOI
https://doi.org/10.1007/s11548-024-03311-y