Ben-Pazi Hilla, Jhashan Shady, Salame Haill, Cohen Hillit, Matot Idit, Pazi Meron Ben, Kirma Yaniv, Elmaliach Lior, Lavi Yair, Mintz Pnina, Corvaja Nicola, Dvir Danny, Danenberg Haim, Ribo Marc
Avertto Medical LTD, Aderet, Israel.
Department of Neurosurgery, Galilee Medical Center, Nahariya, Israel.
Front Neurol. 2025 Jun 16;16:1608651. doi: 10.3389/fneur.2025.1608651. eCollection 2025.
From ancient Chinese medicine to medieval European practice, the carotid pulse has long been recognized as a vital window into vascular health. Yet in modern clinical medicine, this rich physiological signal has been largely overlooked. While artificial intelligence (AI) has transformed healthcare through advanced data interpretation, it has also inadvertently diverted focus from acquiring novel physiological data-particularly from the carotid artery. This review highlights the underutilized potential of carotid hemodynamics and explores how emerging sensor technologies, combined with AI, can transform stroke prevention, real-time cerebrovascular monitoring, and broader vascular care. As a central conduit between the heart and brain, the carotid artery conveys dynamic hemodynamic information relevant not only to neurology, but also to cardiology and pulmonary medicine. Recent advances in non-invasive, continuous monitoring now enable real-time assessment of vascular stiffness, pulse wave patterns, and early cerebrovascular compromise-capabilities that were previously inaccessible with traditional, intermittent evaluation methods. Focusing on the neurological context, this review outlines emerging opportunities in carotid monitoring, identifies key hemodynamic markers, and evaluates the clinical consequences of their underuse. By integrating AI with enhanced, continuous data acquisition from the carotid artery, the medical community may pursue new diagnostic and predictive pathways, advancing toward proactive, precision-based care and improved patient outcomes.
从古代中医到中世纪欧洲医学实践,颈动脉脉搏长期以来一直被视为了解血管健康的重要窗口。然而在现代临床医学中,这一丰富的生理信号在很大程度上被忽视了。虽然人工智能(AI)通过先进的数据解读改变了医疗保健,但它也无意中将注意力从获取新的生理数据上转移开了——尤其是来自颈动脉的数据。这篇综述强调了颈动脉血流动力学未得到充分利用的潜力,并探讨了新兴传感器技术与人工智能相结合如何能够改变中风预防、实时脑血管监测以及更广泛的血管护理。作为心脏和大脑之间的主要通道,颈动脉传递的动态血流动力学信息不仅与神经学相关,还与心脏病学和肺病学相关。非侵入性连续监测的最新进展现在能够实时评估血管硬度、脉搏波模式以及早期脑血管损伤——这些能力是传统的间歇性评估方法以前无法实现的。本文聚焦于神经学背景,概述了颈动脉监测中的新兴机遇,确定了关键的血流动力学标志物,并评估了未充分利用这些标志物的临床后果。通过将人工智能与来自颈动脉的增强型连续数据采集相结合,医学界可以探索新的诊断和预测途径,朝着积极主动、基于精准的护理以及改善患者预后的方向迈进。