A new machine learning approach for predicting likelihood of recurrence following ablation for atrial fibrillation from CT

Abstract

To investigate left atrial shape differences on CT scans of atrial fibrillation (AF) patients with (AF+) versus without (AF−) post-ablation recurrence and whether these shape differences predict AF recurrence.

Document Details

Document Type
Pub Defense Publication
Publication Date
Mar 09, 2021
Source ID
10.1186/s12880-021-00578-4

Entities

People

  • Anant Madabhushi
  • Bruce D. Lindsay
  • Deborah Kwon
  • Michael A. LaBarbera
  • Milind Y. Desai
  • Mina K. Chung
  • Patrick J. Tchou
  • Paul Schoenhagen
  • Soumya Ghose
  • Thomas Atta-Fosu
  • Walid Saliba

Organizations

  • National Cancer Institute
  • National Heart, Lung, and Blood Institute
  • National Institutes of Health

Tags

Readers

  • Cardiovascular Physiology
  • Oncology
  • Snow Cover Descriptors for Reptiles and Their Illustrations.

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference
  • AI & ML - Neural Networks