Prospective Evaluation of Artificial Intelligence Imaging Support Software for Acute Ischemic Stroke in the Mayo Clinic Telestroke Network
This study reported a nonsignificant increase in treatment rates and a decrease in time to treatment decisions. Future trials with larger sample sizes are needed to validate the real-world benefits of decision support software for acute ischemic stroke in an established telestroke network.
Authors
- Stephen English (ORCID: https://orcid.org/0000-0002-8460-2193)
- Felix E. Chukwudelunzu (ORCID: https://orcid.org/0000-0002-0691-4570)
- Claire Fernandez
- Deena M. Nasr (ORCID: https://orcid.org/0000-0002-2676-5779)
- George Harston (ORCID: https://orcid.org/0000-0003-4916-5757)
- Davide Carone (ORCID: https://orcid.org/0000-0002-1646-6089)
- Courtney M. Hrdlicka (ORCID: https://orcid.org/0000-0001-5075-3869)
- Zoe Woodhead (ORCID: https://orcid.org/0000-0003-0462-6791)
- Charisse A. Nord
- Arnaud Karam
- Emily Pahl
- James T. Wolfe
- Stephen Wood (ORCID: https://orcid.org/0000-0002-6910-9907)
- Brett Smith
- Bart M Demarkschalk
Institutions
- WinnMed (US)
- Brainomix (United Kingdom) (GB)
- Mayo Clinic Health System (US)
- Mayo Clinic in Arizona (US)
- Mayo Clinic Hospital (US)
- Mayo Clinic in Florida (US)
- Oxford University Hospitals NHS Trust (GB)
Publication Details
- Journal
- Mayo Clinic Proceedings Innovations Quality & Outcomes
- Published
- 2025-05-30
- DOI
- https://doi.org/10.1016/j.mayocpiqo.2025.100631
- Citations
- 1
- Primary Topic
- Acute Ischemic Stroke Management
- Type
- article
- Field-Weighted Citation Impact
- 1.35