@article{58f4b438b4c244c8a7b882e847790d62,
title = "Pre-hospital stroke monitoring past, present, and future: a perspective",
abstract = "Integrated brain-machine interface signifies a transformative advancement in neurological monitoring and intervention modalities for events such as stroke, the leading cause of disability. Historically, stroke management relied on clinical evaluation and imaging. While today{\textquoteright}s stroke landscape integrates artificial intelligence for proactive clinical decision-making, mainly in imaging and stroke detection, it depends on clinical observation for early detection. Cardiovascular monitoring and detection systems, which have become standard throughout healthcare and wellness settings, provide a model for future cerebrovascular monitoring and detection. This commentary reviews the progression of continuous stroke monitoring, spotlighting contemporary innovations and prospective avenues, and emphasizes the influential roles of cutting-edge technologies in shaping stroke care.",
keywords = "early intervention, home care, monitoring, pre hospital, stroke",
author = "{Ben Pazi}, Hilla and Shady Jahashan and {Har Nof}, Sagi and Samuel Zibman and Ornit Yanai-Kohelet and Limor Prigan and Nathan Intrator and Bornstein, {Natan M.} and Marc Ribo",
note = "Publisher Copyright: Copyright {\textcopyright} 2024 Ben Pazi, Jahashan, Har Nof, Zibman, Yanai-Kohelet, Prigan, Intrator, Bornstein and Ribo.",
year = "2024",
doi = "10.3389/fneur.2024.1341170",
language = "אנגלית",
volume = "15",
journal = "Frontiers in Neurology",
issn = "1664-2295",
publisher = "Frontiers Media SA",
}
