Robot-assisted pedicle screw placement by using optical navigation
), where 95.83% of the placements were clinically successful. Optical camera-based robot-assisted drilling system for spine surgery may increase accuracy by providing precise spatial registration between the patient anatomy and the robotic system, enabling accurate alignment and execution of the drilling task.
Authors
- Fabio Carrillo (ORCID: https://orcid.org/0000-0002-0942-0277)
- Ayoob Davoodi (ORCID: https://orcid.org/0000-0002-7407-5000)
- Aidana Massalimova (ORCID: https://orcid.org/0000-0002-6203-1270)
- Gianni Borghesan (ORCID: https://orcid.org/0000-0002-6023-1498)
- Kathleen Denis (ORCID: https://orcid.org/0000-0002-6492-9607)
- Emmanuel Vander Poorten (ORCID: https://orcid.org/0000-0003-3764-9551)
- Ruixuan Li
- Christoph Johannes Laux (ORCID: https://orcid.org/0000-0002-5446-3057)
- Philipp Fürnstahl
Institutions
- University of Zurich (CH)
- Biomechanics Institute of Valencia (ES)
- Robotics Research (United States) (US)
- Universitätsklinik Balgrist (CH)
Publication Details
- Journal
- Frontiers in Robotics and AI
- Published
- 2026-04-15
- DOI
- https://doi.org/10.3389/frobt.2026.1774473
- Primary Topic
- Soft Robotics and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- European Commission
- Fonds Wetenschappelijk Onderzoek
- Universitaire Ziekenhuizen Leuven, KU Leuven