Pre-hospital Stroke Monitoring Past, Present, and Future: a Perspective

Overview

Journal Front Neurol

Specialty Neurology

Date 2024 Apr 8

PMID 38585364

Authors

Hilla Ben Pazi

Shady Jahashan

Sagi Har Nof

Samuel Zibman

Ornit Yanai-Kohelet

Limor Prigan

Nathan Intrator

Natan M Bornstein

Marc Ribo

Affiliations

Soon will be listed here.

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'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.

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