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Herzschrittmachertherapie & Elektrophysiologie|May 13, 2022
[Artificial intelligence-based ECG analysis: current status and future perspectives-Part 2 : Recent studies and future]Wilhelm Haverkamp, Nils Strodthoff, Carsten IsraelHerzschrittmachertherapie & Elektrophysiologie|May 13, 2022
[Artificial intelligence-based ECG analysis: current status and future perspectives-Part 1 : Basic principles]Wilhelm Haverkamp, Nils Strodthoff, Carsten IsraelHerzschrittmachertherapie & Elektrophysiologie|February 16, 2024
[Artificial intelligence-enhanced electrocardiography : Will it revolutionize diagnosis and management of our patients?]Wilhelm Haverkamp, Nils StrodthoffHerzschrittmachertherapie & Elektrophysiologie|June 23, 2026
[AI-Assisted ECG diagnostics : Classical test statistics still apply]Wilhelm Haverkamp, Gerhard Hindricks, Nils StrodthoffPhysiological Measurement|January 15, 2026
Multi-window temporal analysis for enhanced arrhythmia classification: leveraging long-range dependencies in electrocardiogram signalsTiezhi Wang, Wilhelm Haverkamp, Nils StrodthoffEclinicalmedicine|June 11, 2025
Electrocardiogram-based diagnosis of liver diseases: an externally validated and explainable machine learning approachJuan Miguel Lopez Alcaraz, Wilhelm Haverkamp, Nils StrodthoffCardio-Oncology (London, England)|July 27, 2025
Explainable machine learning for neoplasms diagnosis via electrocardiograms: an externally validated studyJuan Miguel Lopez Alcaraz, Wilhelm Haverkamp, Nils StrodthoffEuropean Heart Journal. Digital Health|July 31, 2024
Prospects for artificial intelligence-enhanced electrocardiogram as a unified screening tool for cardiac and non-cardiac conditions: an explorative study in emergency careNils Strodthoff, Juan Miguel Lopez Alcaraz, Wilhelm HaverkampComputers in Biology and Medicine|May 15, 2024
Explaining deep learning for ECG analysis: Building blocks for auditing and knowledge discoveryPatrick Wagner, Temesgen Mehari, Wilhelm Haverkamp, et al.Plos One|April 11, 2024
Using explainable AI to investigate electrocardiogram changes during healthy aging-From expert features to raw signalsGabriel Ott, Yannik Schaubelt, Juan Miguel Lopez Alcaraz, et al.Pageof 27