Evidence map›Paper›PMID 40589982›Full record

ReviewFrontiers in neurology2025

Rediscovering the carotid pulse: unlocking hidden insights in the era of AI-driven healthcare.

Hilla Ben-Pazi, Shady Jhashan, Haill Salame, Hillit Cohen, Idit Matot, Meron Ben Pazi, Yaniv Kirma, Lior Elmaliach, Yair Lavi, Pnina Mintz and 4 more

Abstract readReview
In one paragraph

Review in Frontiers in neurology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors.

Hilla Ben-PaziAvertto Medical LTD, Aderet, Israel.
Shady JhashanDepartment of Neurosurgery, Galilee Medical Center, Nahariya, Israel.
Haill SalameDepartment of Neurosurgery, Galilee Medical Center, Nahariya, Israel.
Hillit CohenDepartment of Cardiac Surgery, Sheba Medical Center, Ramat Gan, Israel.
Idit MatotDepartment of Anesthesiology and Critical Care and Pain, Tel Aviv Medical Center, Tel Aviv, Israel.
Meron Ben PaziAvertto Medical LTD, Aderet, Israel.
Yaniv KirmaAvertto Medical LTD, Aderet, Israel.
Lior ElmaliachAvertto Medical LTD, Aderet, Israel.
Yair LaviAvertto Medical LTD, Aderet, Israel.
Pnina MintzAvertto Medical LTD, Aderet, Israel.
Nicola CorvajaInterventional Cardiology, New York-Presbyterian Hospital, New York, NY, United States.
Danny DvirDepartment of Cardiology, Shaare Zedek Medical Center, Jerusalem, Israel.
Haim DanenbergDepartment of Cardiology, E. Wolfson Medical Center, Holon, Israel.
Marc RiboStroke Unit, Vall d'Hebron University Hospital, Barcelona, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

artificial intelligencebaro-sensorscarotid arterymonitoringpulse wave velocitystrokeultrasound

Identifiers

PMID40589982
PMCPMC12206777

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.