Artificial Intelligence Tracking of Otologic Instruments in Mastoidectomy Videos
An AI model can track the drill in mastoidectomy videos with high accuracy and near-real-time processing speed. Automated tracking opens the door to analyzing objective metrics of surgical skill without the need for manual annotation and will provide valuable data for future navigation and augmented reality surgical environments.
Authors
- Nikolas H. Blevins (ORCID: https://orcid.org/0000-0003-3562-4887)
- Mohamed Diop
- George S. Liu (ORCID: https://orcid.org/0000-0002-2066-5734)
- Trishia El Chemaly
- M. Lee (ORCID: https://orcid.org/0000-0001-8635-7913)
- R E Park
- Sharad Parulekar
Institutions
- Bioengineering Center (RU)
- Stanford University (US)
Publication Details
- Journal
- Otology & Neurotology
- Published
- 2024-10-28
- DOI
- https://doi.org/10.1097/mao.0000000000004330
- Citations
- 3
- Primary Topic
- Surgical Simulation and Training
- Type
- article
- Field-Weighted Citation Impact
- 1.72