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Posts tagged #HRO2

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A deep learning modular ECG approach for cardiologist assisted adjudication of atrial fibrillation and atrial flutter episodes Detection of atrial tachyarrhythmias (ATA) on long-term electrocardiogram (ECG) recordings is a prerequisite to reduce ATA-related adverse events. However, the burden of editing massive ECG data is not sustainable. Deep learning (DL) algorithms provide improved performances on resting ECG databases. However, results on long-term Holter recordings are scarce.

1/ 🧠❤️🤖 New in @heartrhythmsociety.bsky.social's #HRO2 journal: a deep learning modular ECG approach for cardiologist-assisted adjudication of AF and atrial flutter. www.heartrhythmopen.com/article/S266... #ExplainableAI #DeepLearning #AFibCare #BiomedicalAI #EPeeps

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Quantitative validation is needed, but this is truly interesting stuff! Congrats to the whole team! Read more great science at @heartrhythmsociety.bsky.social's #HRo2 journal!!

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Local atrial bipolar electrogram voltage drops during cardiac magnetic resonance guided catheter ablation of typical atrial flutter: Associations with delivered radiofrequency energy and peri-procedur... Cardiac magnetic resonance (CMR)-guided catheter ablation of the cavotricuspid isthmus (CTI) has been proven feasible, but determinants of local electrogram (EGM) voltage drops during radiofrequency (...

In the current (November) issue of @heartrhythmsociety.bsky.social's #HRo2 journal, we have a fascinating study by Nies et al. #EPeeps www.heartrhythmopen.com/article/S266...

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