Artificial intelligence–powered analysis of operating room turnover: impact of instrument burden
AI vision systems provided automated comparisons of OR turnover parameters, highlighting distinct bottlenecks in cranial, spinal, and ENT cases. Optimizing instrument setup through tray rationalization represents a cost-effective intervention that warrants further investigation.
Authors
- Rupert D. Smit (ORCID: https://orcid.org/0000-0003-1525-5586)
- Aria Mahtabfar (ORCID: https://orcid.org/0000-0002-4026-7821)
- Emil Swanepoel
- James J Evans
- James S Harrop
Institutions
- Thomas Jefferson University (US)
- Jefferson Hospital for Neuroscience (US)
Publication Details
- Journal
- Journal of neurosurgery
- Published
- 2026-02-01
- DOI
- https://doi.org/10.3171/2025.9.jns251703
- Primary Topic
- Surgical Simulation and Training
- Type
- article
- Field-Weighted Citation Impact
- 0.00