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Explainable Artificial Intelligence for Prehospital Identification of Stroke Patients Likely to Receive Endovascular Thrombectomy: A Retrospective Real-World Study

Year: 2026

Type: preprint

Study design: Observational Study

Source: Research Square

DOI: 10.21203/rs.3.rs-10095424/v1

Authors: Patrick Andreas Eder, Oliver Moser, Asarnusch Rashid, Eckhard Schlemm, Jasmin Hessler, Holger von Jouanne-Diedrich, Volker Ziegler, Hassan Soda

Institutions: University Medical Center Hamburg-Eppendorf, Aschaffenburg University of Applied Sciences, Rhön-Klinikum

Topic: Acute Ischemic Stroke Management

Subfield: Epidemiology

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: green

OpenAlex ID: W7204221617

Cites: 31

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