Detection of hand motion during cadaveric mastoidectomy dissections: a technical note
A deep-learning hand motion detector can measure surgical motion without physical sensors attached to the hands during mastoidectomy simulations on cadavers. While preliminary metrics were developed to assess hand motion during mastoidectomy, further studies are needed to expand and validate these metrics for potential use in guiding and evaluating surgical training.
Authors
- Marco Santello (ORCID: https://orcid.org/0000-0001-8879-7912)
- Michael T. Lawton (ORCID: https://orcid.org/0000-0002-1887-3980)
- Mark C. Preul (ORCID: https://orcid.org/0000-0002-3477-4931)
- Yuan Xu (ORCID: https://orcid.org/0000-0003-1959-9861)
- Oscar Alcantar-Garibay
- Thomas J. On (ORCID: https://orcid.org/0009-0005-7449-4204)
- Nicolás González (ORCID: https://orcid.org/0000-0003-3351-8714)
- Gerardo Gomez-Castro (ORCID: https://orcid.org/0000-0001-7654-1979)
Institutions
- Barrow Neurological Institute (US)
- St. Joseph's Hospital and Medical Center (US)
- Arizona State University (US)
Publication Details
- Journal
- Frontiers in Surgery
- Published
- 2024-10-03
- DOI
- https://doi.org/10.3389/fsurg.2024.1441346
- Citations
- 2
- Primary Topic
- Facial Nerve Paralysis Treatment and Research
- Type
- article
- Field-Weighted Citation Impact
- 0.74