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Machine learning identifies esophageal luminal temperature patterns associated with thermal injury in catheter ablation for atrial fibrillation.

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Bibliographic Details
Title: Machine learning identifies esophageal luminal temperature patterns associated with thermal injury in catheter ablation for atrial fibrillation.
Authors: Chahine, Yaacoub1, Afroze, Tanzina1, Bifulco, Savannah F.2, Tekmenzhi, Demyan V.1, Jafarvand, Mahbod1, Boyle, Patrick M.2,3,4, Akoum, Nazem1,2 nakoum@cardiology.washington.edu
Source: Journal of Cardiovascular Electrophysiology. Apr2024, Vol. 35 Issue 4, p737-746. 10p.
Database: Academic Search Ultimate
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Description
ISSN:10453873
DOI:10.1111/jce.16213