Automated prediction of isthmus areas in scar‐related atrial tachycardias using artificial intelligence.
Introduction: Ablation of scar‐related reentrant atrial tachycardia (SRRAT) involves identification and ablation of a critical isthmus. A graph convolutional network (GCN) is a machine learning structure that is well‐suited to analyze the irregularly‐structured data obtained in mapping procedures an...
| Published in: | Journal of Cardiovascular Electrophysiology Vol. 35; no. 7; pp. 1401 - 1412 |
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| Main Authors: | , , , , , , , , , |
| Format: | pictorial research tables/charts Journal Article |
| Published: |
Wiley-Blackwell
Jul2024
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| Online Access: | View this record in EBSCOhost |