A simulation environment for robot-assisted endovascular interventions
The results indicate that the integration of advanced physical modeling, realistic human-robot interactions, and enhanced computational capabilities will facilitate the development of innovative solutions, enabling clinicians to achieve greater accuracy and reliability in minimally invasive surgical (MIS) applications, particularly in endovascular interventions.
Authors
- Matteo Pescio (ORCID: https://orcid.org/0009-0001-3035-1392)
- Maura Casadio (ORCID: https://orcid.org/0000-0003-2338-8995)
- Dennis Kundrat (ORCID: https://orcid.org/0000-0003-4260-1747)
- Giulio Dagnino (ORCID: https://orcid.org/0000-0002-1613-1051)
- Chenhao Li (ORCID: https://orcid.org/0000-0001-6117-4213)
Institutions
- Politecnico di Torino (IT)
- Fraunhofer-Einrichtung für Individualisierte Medizintechnik (DE)
- University of Turin (IT)
- University of Genoa (IT)
- University of Twente (NL)
Publication Details
- Journal
- International Journal of Computer Assisted Radiology and Surgery
- Published
- 2025-06-24
- DOI
- https://doi.org/10.1007/s11548-025-03458-2
- Citations
- 2
- Primary Topic
- Aortic aneurysm repair treatments
- Type
- article
- Field-Weighted Citation Impact
- 3.04