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Multimodal explainable artificial intelligence identifies patients with non-ischaemic cardiomyopathy at risk of lethal ventricular arrhythmias
Kolk, M. Z. H., Ruipérez-Campillo, S. & DEEP RISK investigators, Dec 2024, In: Scientific reports. 14, 1, p. 14889 1 p., 14889.Research output: Contribution to journal › Article › Academic › peer-review
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Dynamic prediction of malignant ventricular arrhythmias using neural networks in patients with an implantable cardioverter-defibrillator
Kolk, M. Z. H., Ruipérez-Campillo, S., Alvarez-Florez, L., Deb, B., Bekkers, E. J., Allaart, C. P., van der Lingen, A-L. C. J., Clopton, P., Išgum, I., Wilde, A. A. M., Knops, R. E., Narayan, S. M. & Tjong, F. V. Y., 1 Jan 2024, In: eBioMedicine. 99, 104937.Research output: Contribution to journal › Article › Academic › peer-review
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Optimizing patient selection for primary prevention implantable cardioverter-defibrillator implantation: utilizing multimodal machine learning to assess risk of implantable cardioverter-defibrillator non-benefit
Kolk, M. Z. H., Ruipérez-Campillo, S., Deb, B., Bekkers, E. J., Allaart, C. P., Rogers, A. J., van der Lingen, A-L. C. J., Alvarez Florez, L., Isgum, I., de Vos, B. D., Clopton, P., Wilde, A. A. M., Knops, R. E., Narayan, S. M. & Tjong, F. V. Y., 2 Aug 2023, In: Europace. 25, 9Research output: Contribution to journal › Article › Academic › peer-review
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