Massive 200,000-Patient Registry Opens: Willem AI ECG Platform vs Standard Interpretation in High-Risk Cardiac Patients — Real-World Evidence Study
247 Health News Editorial
·14 Apr 2026
·4 min read
·clinical-trialsThe WILLEM Registry launches as one of the largest cardiovascular AI studies ever, enrolling 200,000 high-risk cardiac patients to validate an AI-based ECG interpretation platform. This 12-year observational study could transform cardiac diagnostics by providing real-world evidence for automated ECG analysis.
Originally reported by ClinicalTrials.gov
References
- 1.Idoven 1903 S.L. (2024). Registry Study for the Evaluation of High-risk Cardiac Patients by WILLEM AI-based ECG Platform. ClinicalTrials.gov. NCT07333547. https://clinicaltrials.gov/study/NCT07333547
- 2.Roth, G. A., Mensah, G. A., Johnson, C. O., Addolorato, G., Ammirati, E., Baddour, L. M., ... & Murray, C. J. (2020). Global burden of cardiovascular diseases and risk factors, 1990-2019. Journal of the American College of Cardiology, 76(25), 2982-3021. https://doi.org/10.1016/j.jacc.2020.11.010
- 3.Hannun, A. Y., Rajpurkar, P., Haghpanahi, M., Tison, G. H., Bourn, C., Turakhia, M. P., & Ng, A. Y. (2019). Cardiologist-level arrhythmia detection and classification in ambulatory electrocardiograms using a deep neural network. Nature Medicine, 25(1), 65-69. https://doi.org/10.1038/s41591-018-0268-3
- 4.Tsao, C. W., Aday, A. W., Almarzooq, Z. I., Anderson, C. A., Arora, P., Avery, C. L., ... & American Heart Association Statistics Committee and Stroke Statistics Subcommittee. (2023). Heart disease and stroke statistics-2023 update. Circulation, 147(8), e93-e621. https://doi.org/10.1161/CIR.0000000000001123
- 5.Ribeiro, A. H., Ribeiro, M. H., Paixão, G. M., Oliveira, D. M., Gomes, P. R., Canazart, J. A., ... & Ribeiro, A. L. P. (2020). Automatic diagnosis of the 12-lead ECG using a deep neural network. Nature Communications, 11(1), 1760. https://doi.org/10.1038/s41467-020-15432-4
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247 Health News Editorial
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