Wilhelm Haverkamp on Muck Rack

Wilhelm Haverkamp

Berlin, Germany
As seen in: Color Research & Application, PLOS ONE, EClinicalMedicine
Medizinische Klinik m. S. Kardiologie Campus Virchow Klinikum Charité - Universitätsmedizin Berlin Augustenburger Platz 1 D - 13353 Berlin
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Articles

[2510.18339] ECG-LLM-- training and evaluation of domain-specific large language models for electrocardiography

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By Wilhelm Haverkamp, Nils Strodthoff
| arxiv.org
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.
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Electrocardiogram-based diagnosis of liver diseases: an externally validated and explainable machine learning approach

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By Wilhelm Haverkamp, Nils Strodthoff
| EClinicalMedicine Verified
Keywords Liver diseases Electrocardiogram (ECG) Machine learning Biomarkers Cardiovascular-liver interactions Non-invasive diagnostics Explainable AI Evidence before this study A systematic search of PubMed, Scopus, and IEEE Xplore (January 2010–December 2024) was conducted using terms like “ECG liver disease diagnoses,” and “cardiovascular-liver interaction.” Previous research demonstrated the potential of machine learning in healthcare and highlighted the ECG’s utility in detecting systemic...
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Using explainable AI to investigate electrocardiogram changes during healthy aging-From expert features to raw signals

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By Wilhelm Haverkamp, Charité Universitätsmedizin, Gabriel Ott, Yannik Schaubelt
| PLOS ONE
Citation: Ott G, Schaubelt Y, Lopez Alcaraz JM, Haverkamp W, Strodthoff N (2024) Using explainable AI to investigate electrocardiogram changes during healthy aging—From expert features to raw signals. PLoS ONE 19(4): e0302024. https://doi.org/10.1371/journal.pone.0302024 Editor: Agnese Sbrollini, Polytechnic University of Marche: Universita Politecnica delle Marche, ITALY Received: December 18, 2023; Accepted: March 26, 2024; Published: April 11, 2024 Copyright: © 2024 Ott et al.
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