From precision to strength: computer vision for suture quality assessment—an ex vivo pilot study
Platform-specific scores emerged with limitations. While spatial metrics correlate with mechanical resistance, they appear insufficient as standalone indicators of suture quality. Ultimately, this approach could pave the way toward intelligent, intraoperative systems capable of delivering real-time feedback, with implications for both surgical education and quality assurance.
Authors
- Kengo Hayashi (ORCID: https://orcid.org/0000-0001-5636-5277)
- Francesco Marzola (ORCID: https://orcid.org/0000-0002-9675-3220)
- Matteo Pescio (ORCID: https://orcid.org/0009-0001-3035-1392)
- Kaspar Althoefer (ORCID: https://orcid.org/0000-0002-1141-9996)
- Alberto Arezzo (ORCID: https://orcid.org/0000-0002-2110-4082)
- Giovanni Distefano (ORCID: https://orcid.org/0000-0002-4813-4812)
- Sébastien Ourselin (ORCID: https://orcid.org/0000-0002-5694-5340)
- Giulio Dagnino (ORCID: https://orcid.org/0000-0002-1613-1051)
- Bruno Siciliano (ORCID: https://orcid.org/0000-0002-1037-0588)
- Federica Barontini
- Federica Corso
- Roberto Spagnulo
Institutions
- Kanazawa University (JP)
- Queen Mary University of London (GB)
- Politecnico di Torino (IT)
- King's College London (GB)
- University of Turin (IT)
- University of Naples Federico II (IT)
- University of Twente (NL)
Publication Details
- Journal
- Surgical Endoscopy
- Published
- 2025-12-04
- DOI
- https://doi.org/10.1007/s00464-025-12441-6
- Primary Topic
- Surgical Sutures and Adhesives
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- European Commission
- Università degli Studi di Torino
- HORIZON EUROPE Framework Programme