End-to-End Platform for Electrocardiogram Analysis and Model Fine-Tuning: Development and Validation Study

ExChanGeAI provides a comprehensive, privacy-aware platform that democratizes access to ECG analysis and model training. By simplifying complex workflows, ExChanGeAI empowers out-of-domain researchers to use state-of-the-art ML on diverse datasets, democratizing the access to ML in the field of ECG data. The platform is available as open-source code under the Massachusetts Institute of Technology (MIT) license.

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Publication Details

Journal
Journal of Medical Internet Research
Published
2026-01-30
DOI
https://doi.org/10.2196/81116
Primary Topic
ECG Monitoring and Analysis
Type
article
Field-Weighted Citation Impact
0.00
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article

End-to-End Platform for Electrocardiogram Analysis and Model Fine-Tuning: Development and Validation Study

Lucas Plagwitz, Antonius Büscher, Julian Varghese, Lars Eckardt et al.
Journal of Medical Internet Research
ECG Monitoring and Analysis
article

End-to-End Platform for Electrocardiogram Analysis and Model Fine-Tuning: Development and Validation Study

Lucas Plagwitz, Antonius Büscher, Julian Varghese, Lars Eckardt, Lucas Bickmann
article en

Abstract

ExChanGeAI provides a comprehensive, privacy-aware platform that democratizes access to ECG analysis and model training. By simplifying complex workflows, ExChanGeAI empowers out-of-domain researchers to use state-of-the-art ML on diverse datasets, democratizing the access to ML in the field of ECG data. The platform is available as open-source code under the Massachusetts Institute of Technology (MIT) license.

Journal of Medical Internet ResearchVol. 28
University of Münster (DE), University Hospital Münster (DE), Otto-von-Guericke-Universität Magdeburg (DE)
Openalex Percentile: Top 71%
ECG Monitoring and Analysis
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