A novel augmented reality-based simulator for enhancing orthopedic surgical training
This work shows the potential of AR-based simulators in introducing a novel, data-driven approach to open surgery training in orthopedics, enabling surgeons to individually assess and improve their progress.
Authors
- Armando Hoch
- Mazda Farshad (ORCID: https://orcid.org/0000-0002-7190-1127)
- Jonas Hein (ORCID: https://orcid.org/0000-0003-0670-0828)
- Nicola Cavalcanti (ORCID: https://orcid.org/0009-0006-0674-0773)
- Matthias Seibold (ORCID: https://orcid.org/0000-0002-9960-3244)
- Luohong Wu (ORCID: https://orcid.org/0009-0007-3889-4264)
- Helmut Gräbner (ORCID: https://orcid.org/0000-0003-1377-2686)
- Patrick Oliver Zingg (ORCID: https://orcid.org/0000-0003-0300-3576)
- Philipp Fürnstahl (ORCID: https://orcid.org/0000-0001-6484-6206)
- Lazaros Vlachopoulos (ORCID: https://orcid.org/0009-0003-0178-8389)
- Tatiana Gerth
- Roni Lekar
Institutions
- ZHAW Zurich University of Applied Sciences (CH)
- University of Zurich (CH)
- University Hospital of Zurich (CH)
- Universitätsklinik Balgrist (CH)
Publication Details
- Journal
- Computers in Biology and Medicine
- Published
- 2024-12-12
- DOI
- https://doi.org/10.1016/j.compbiomed.2024.109536
- Citations
- 12
- Primary Topic
- Surgical Simulation and Training
- Type
- article
- Field-Weighted Citation Impact
- 6.87
Funders
- Innosuisse - Schweizerische Agentur für Innovationsförderung