Machine learning models powered by emergency medical services data enhance stroke triage in prehospital settings.
Publication
, Journal Article
Saban, M; Hiura, G; de la Peña, P; Wozniak, A; Heiferman, D; Akbilgic, O; Cichon, M; Tootooni, S
Published in: Scientific reports
February 2026
Duke Scholars
Published In
Scientific reports
DOI
EISSN
2045-2322
ISSN
2045-2322
Publication Date
February 2026
Volume
16
Issue
1
Start / End Page
7139
Citation
APA
Chicago
ICMJE
MLA
NLM
Saban, M., Hiura, G., de la Peña, P., Wozniak, A., Heiferman, D., Akbilgic, O., … Tootooni, S. (2026). Machine learning models powered by emergency medical services data enhance stroke triage in prehospital settings. Scientific Reports, 16(1), 7139. https://doi.org/10.1038/s41598-026-37069-x
Saban, Michael, Grant Hiura, Paula de la Peña, Amy Wozniak, Daniel Heiferman, Oguz Akbilgic, Mark Cichon, and Samie Tootooni. “Machine learning models powered by emergency medical services data enhance stroke triage in prehospital settings.” Scientific Reports 16, no. 1 (February 2026): 7139. https://doi.org/10.1038/s41598-026-37069-x.
Saban M, Hiura G, de la Peña P, Wozniak A, Heiferman D, Akbilgic O, et al. Machine learning models powered by emergency medical services data enhance stroke triage in prehospital settings. Scientific reports. 2026 Feb;16(1):7139.
Saban, Michael, et al. “Machine learning models powered by emergency medical services data enhance stroke triage in prehospital settings.” Scientific Reports, vol. 16, no. 1, Feb. 2026, p. 7139. Epmc, doi:10.1038/s41598-026-37069-x.
Saban M, Hiura G, de la Peña P, Wozniak A, Heiferman D, Akbilgic O, Cichon M, Tootooni S. Machine learning models powered by emergency medical services data enhance stroke triage in prehospital settings. Scientific reports. 2026 Feb;16(1):7139.
Published In
Scientific reports
DOI
EISSN
2045-2322
ISSN
2045-2322
Publication Date
February 2026
Volume
16
Issue
1
Start / End Page
7139