Community-based cardiovascular risk assessment using the Cardisio <sup>TM</sup> AI test: a prospective cohort study

This simple, near-patient test afforded high-risk hard-to-reach individuals with access to an acceptable test that can facilitate appropriate referral. The automated test does not rely on interpretation of electrocardiogram (ECG) readouts and so is more effective at identifying underlying CVD than a traditional 12-lead ECG.

Authors

Simon Rudland (ORCID: https://orcid.org/0000-0001-9077-8083)
Alan Nevill (ORCID: https://orcid.org/0000-0003-0506-3652)
Nisar Shah (ORCID: https://orcid.org/0000-0002-4488-0041)

Institutions

University of Wolverhampton (GB)
University of Suffolk (GB)
Sandwell & West Birmingham Hospitals NHS Trust (GB)

Publication Details

Journal: BJGP Open
Published: 2025-05-19
DOI: https://doi.org/10.3399/bjgpo.2024.0183
Primary Topic: ECG Monitoring and Analysis
Type: article
Field-Weighted Citation Impact: 0.00

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article

Community-based cardiovascular risk assessment using the Cardisio ^TM AI test: a prospective cohort study

Simon Rudland, Alan Nevill, Nisar Shah

May 19, 2025

BJGP Open

ECG Monitoring and Analysis

article

Community-based cardiovascular risk assessment using the Cardisio ^TM AI test: a prospective cohort study

Simon Rudland, Alan Nevill, Nisar Shah

May 19, 2025article en

Abstract

This simple, near-patient test afforded high-risk hard-to-reach individuals with access to an acceptable test that can facilitate appropriate referral. The automated test does not rely on interpretation of electrocardiogram (ECG) readouts and so is more effective at identifying underlying CVD than a traditional 12-lead ECG.

BJGP OpenVol. 9(3)

University of Wolverhampton (GB), University of Suffolk (GB), Sandwell & West Birmingham Hospitals NHS Trust (GB)

Good health and well-being

Openalex Percentile: Top 81%

ECG Monitoring and Analysis

DOI Open Access PDF OpenAlex

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