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

Abstract

Authors

• Thomas Atta-Fosu
  Center for Computational Imaging and Personalized Diagnostics, Department of Biomedical Engineering, Case Western Reserve University, 2071 Martin Luther King Drive, Cleveland, OH, 44106-7207, USA. [email protected].
• Michael LaBarbera
  Cleveland Clinic Lerner College of Medicine of Case Western Reserve University, Cleveland, OH, USA.
• Soumya Ghose
  Case Western Reserve University, 10900 Euclid Avenue, Cleveland, OH 44106, United States.
• Paul Schoenhagen
  Cleveland Clinic Lerner College of Medicine (A.K.F., M.A.L., P.S., M.K.C.), Case Western Reserve University.
• Walid Saliba
  Department of Cardiovascular Medicine, Heart, Vascular & Thoracic Institute (M.M., P.S., W.S., P.T., M.K.C.).
• Patrick J Tchou
  Department of Cardiovascular Medicine, Heart, Vascular and Thoracic Institute, Cleveland Clinic, Cleveland, OH, USA.
• Bruce D Lindsay
  Cardiac Electrophysiology and Pacing, Cleveland Clinic, Cleveland, Ohio. Electronic address: [email protected].
• Milind Y Desai
  Heart and Vascular Institute Cleveland Clinic, Cleveland, OH, USA.
• Deborah Kwon
  Department of Cardiovascular Medicine, Heart, Vascular and Thoracic Institute, Cleveland Clinic, Cleveland, OH, USA.
• Mina K Chung
  Department of Cardiovascular Medicine, Heart and Vascular Institute (J.R., D.P., S.T., K.M.T., N.V., M.J.N., E.Z.G., R.A.G., M.K.C.), Cleveland Clinic, OH.
• Anant Madabhushi
  Department of Biomedical Engineering, Case Western Reserve University, Cleveland, Ohio.

Keywords

External Resources