Prediction of pacemaker-induced cardiomyopathy using a convolutional neural network based on clinical findings prior to pacemaker implantation
Abstract Risk factors for pacemaker-induced cardiomyopathy (PICM) have been previously reported, including a high burden of right ventricular pacing, lower left ventricular ejection fraction, a wide QRS duration, and left bundle branch block before pacemaker implantation (PMI). However, predicting t...
Main Authors: | Mitsunori Oida, Takuya Mizutani, Eriko Hasumi, Katsuhito Fujiu, Kosaku Goto, Kunihiro Kani, Tsukasa Oshima, Takumi J. Matsubara, Yu Shimizu, Gaku Oguri, Toshiya Kojima, Issei Komuro |
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Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2024-03-01
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Series: | Scientific Reports |
Online Access: | https://doi.org/10.1038/s41598-024-57418-y |
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