Clinical validation of a rapid, markerless, headset-contained augmented reality stereotactic neuronavigation system
The AR navigation system provided statistically similar registration accuracy and significantly faster patient model registration compared with the standard-of-care stereotactic neuronavigation system. AR navigation was accurate, fast, and had a minimal footprint, offering new opportunities to incorporate stereotaxis in low-resource, bedside, and urgent/emergency settings.
Authors
- Jordan R. Saadon (ORCID: https://orcid.org/0000-0001-5721-8332)
- Priya Rastogi (ORCID: https://orcid.org/0000-0002-6179-6407)
- Charles A. Sansur (ORCID: https://orcid.org/0009-0001-7115-8484)
- Chixiang Chen (ORCID: https://orcid.org/0000-0001-5474-2833)
- Mohammed Labib
- Tina Wang (ORCID: https://orcid.org/0000-0003-3705-7927)
- Jesse A. Stokum (ORCID: https://orcid.org/0000-0002-8547-9334)
- Gary Schwartzbauer (ORCID: https://orcid.org/0000-0002-1799-6954)
- C Solomon (ORCID: https://orcid.org/0000-0001-8863-6078)
- A. Ksendzovsky
- Jacob Cherian
- Whitney E. Parker
- Steven K. Yarmoska (ORCID: https://orcid.org/0000-0001-7642-7957)
- Joshua Olexa (ORCID: https://orcid.org/0009-0009-8524-9799)
- Annie Trang (ORCID: https://orcid.org/0009-0002-6587-3067)
- Maureen Rakovec (ORCID: https://orcid.org/0000-0003-4114-7933)
- Graeme F. Woodworth (ORCID: https://orcid.org/0000-0001-9663-0768)
- Kevin T Kim
Institutions
- University of Maryland, Baltimore (US)
- University of Maryland, College Park (US)
Publication Details
- Journal
- Journal of neurosurgery
- Published
- 2025-09-27
- DOI
- https://doi.org/10.3171/2025.5.jns243160
- Primary Topic
- Anatomy and Medical Technology
- Type
- article
- Field-Weighted Citation Impact
- 0.00