Explainable machine learning for neoplasms diagnosis via electrocardiograms: an externally validated study.

Journal: Cardio-oncology (London, England)
Published Date: Jul 26, 2025

Abstract

BACKGROUND: Neoplasms are a major cause of mortality globally, where early diagnosis is essential for improving outcomes. Current diagnostic methods are often invasive, expensive, and inaccessible in resource-limited settings. This study explores the potential of electrocardiogram (ECG) data, a widely available and non-invasive tool for diagnosing neoplasms through cardiovascular changes linked to neoplastic presence.

Authors

  • Juan Miguel Lopez Alcaraz
    AI4Health Division, Carl von Ossietzky Universität Oldenburg, Oldenburg, Germany.
  • Wilhelm Haverkamp
    Department of Cardiology, Charité - Universitätsmedizin Berlin, Campus Virchow.
  • Nils Strodthoff
    Fraunhofer Heinrich Hertz Institute, 10587 Berlin, Germany. Author to whom any correspondence should be addressed.

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