Prediction of pacemaker-induced cardiomyopathy using a convolutional neural network based on clinical findings prior to pacemaker implantation

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...

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Bibliographic Details
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
Format: Article
Language:English
Published: Nature Portfolio 2024-03-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-024-57418-y

Internet

https://doi.org/10.1038/s41598-024-57418-y

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