Explainable and externally validated machine learning for neurocognitive diagnosis via ECGs

These findings suggest that ECG holds promise as a non-invasive, explainable biomarker for selected neurocognitive disorders. This study demonstrates robust performance across cohorts and lays the groundwork for future clinical applications, including early detection and personalised monitoring.

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Publication Details

Journal
General Psychiatry
Published
2025-10-01
DOI
https://doi.org/10.1136/gpsych-2025-102107
Primary Topic
ECG Monitoring and Analysis
Type
article
Field-Weighted Citation Impact
0.00
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article

Explainable and externally validated machine learning for neurocognitive diagnosis via ECGs

Nils Strodthoff, Ebenezer Oloyede, Wilhelm Haverkamp, Juan Miguel Lopez Alcaraz et al.
General Psychiatry
ECG Monitoring and Analysis
article

Explainable and externally validated machine learning for neurocognitive diagnosis via ECGs

Nils Strodthoff, Ebenezer Oloyede, Wilhelm Haverkamp, Juan Miguel Lopez Alcaraz, David Taylor
article en

Abstract

These findings suggest that ECG holds promise as a non-invasive, explainable biomarker for selected neurocognitive disorders. This study demonstrates robust performance across cohorts and lays the groundwork for future clinical applications, including early detection and personalised monitoring.

General PsychiatryVol. 38(5)
Carl von Ossietzky Universität Oldenburg (DE), King's College London (GB), University of Oxford (GB), Maudsley Hospital (GB), Deutsches Herzzentrum München (DE), Berlin Heart (Germany) (DE)
Openalex Percentile: Top 53%
ECG Monitoring and Analysis
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Explainable and externally validated machine learning for neurocognitive diagnosis via ECGs — Nils Strodthoff, Ebenezer Oloyede, et al. · General Psychiatry (2025) | TGRS Research Map | TGRS