Computer-Based Tracking of Microsurgical Instruments: A Novel Assessment Tool for Robot-Assisted and Conventional Microsurgery
The proposed computer algorithms address critical gaps in objective microsurgical skill assessment, enabling accessible, efficient, and quantitative self-evaluation, and allow for direct comparison of robot-assisted and conventional microsurgical performances.
Authors
- Viola A. Stögner
- Alex K. Wong (ORCID: https://orcid.org/0000-0002-4068-5230)
- Bohdan Pomahač (ORCID: https://orcid.org/0000-0003-3703-8240)
- Catherine T. Yu (ORCID: https://orcid.org/0000-0003-3735-8041)
- Sam Boroumand (ORCID: https://orcid.org/0000-0003-0736-1610)
- Lioba Huelsboemer (ORCID: https://orcid.org/0000-0003-4795-0225)
- Xinyi Xie (ORCID: https://orcid.org/0000-0002-6510-413X)
- Haripriya S. Ayyala (ORCID: https://orcid.org/0000-0002-5806-378X)
- Kai J. Wessel
- Maximilian Kueckelhaus
Institutions
- Yale New Haven Hospital (US)
- Yale University (US)
- Medizinische Hochschule Hannover (DE)
- University Hospital Münster (DE)
Publication Details
- Journal
- Plastic & Reconstructive Surgery
- Published
- 2025-06-24
- DOI
- https://doi.org/10.1097/prs.0000000000012271
- Citations
- 1
- Primary Topic
- Surgical Simulation and Training
- Type
- article
- Field-Weighted Citation Impact
- 2.01