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- W4225530704 abstract "Background:Radiofrequency catheter ablation (RFCA) is an effective therapy for atrial fibrillation (AF). However, it the problem of AF recurrence remains. This study investigates whether a deep convolutional neural network (CNN) can accurately predict AF recurrence in patients with AF who underwent RFCA, and compares CNN with conventional statistical analysis." @default.
- W4225530704 created "2022-05-05" @default.
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- W4225530704 date "2022-01-25" @default.
- W4225530704 modified "2023-10-12" @default.
- W4225530704 title "Deep Learning-Based Recurrence Prediction of Atrial Fibrillation After Catheter Ablation" @default.
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- W4225530704 doi "https://doi.org/10.1253/circj.cj-21-0622" @default.
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