An Internet of Things operating room platform for neurosurgery
The study thus demonstrates the utility of sensors, AI, and cloud interconnectivity in real-time monitoring, analytics, and feedback as a digital footprint of surgery. Using and quantifying closed-door OR data and weaving them into a secure and innovative data-rich pipeline, the system offers a glimpse toward standardization of surgery at the level where the tool meets the tissue.
Authors
- Diego Ospina (ORCID: https://orcid.org/0000-0003-2302-4710)
- Sanju Lama
- Serge Makarenko (ORCID: https://orcid.org/0000-0002-6283-249X)
- Garnette R. Sutherland (ORCID: https://orcid.org/0000-0001-5114-3827)
- Rahul Singh (ORCID: https://orcid.org/0000-0001-9271-2037)
- Michael Chow (ORCID: https://orcid.org/0000-0002-2737-4622)
- Homer A. Riva-Cambrin
- Nigam Lad
Institutions
- University of British Columbia (CA)
- University of Alberta (CA)
- University of Calgary (CA)
Publication Details
- Journal
- Journal of neurosurgery
- Published
- 2025-11-08
- DOI
- https://doi.org/10.3171/2025.8.jns25992
- Citations
- 2
- Primary Topic
- Surgical Simulation and Training
- Type
- article
- Field-Weighted Citation Impact
- 4.01