Assessment of Disease Status and Treatment Response With Artificial Intelligence-Enhanced Electrocardiography in Obstructive Hypertrophic Cardiomyopathy.

Journal: Journal of the American College of Cardiology

Published Date: Mar 15, 2022

AI analysis of HCM ECGs correlates with longitudinal hemodynamic, cardiac structural and laboratory markers in obstructive HCM patients.

Geoffrey H Tison

Department of Medicine (G.H.T., M.H.L., E.F., M.A.A., C.J., K.E.F., R.C.D.).
Konstantinos C Siontis

Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN.
Sean Abreau
Zachi Attia

Department of Cardiovascular Medicine, Mayo Clinic, Rochester, Minnesota, USA.
Priyanka Agarwal
Aarthi Balasubramanyam
Yunfan Li
Amy J Sehnert
Jay M Edelberg
Paul A Friedman

Department of Cardiovascular Medicine, Mayo Clinic College of Medicine, Rochester, Minnesota, USA.
Jeffrey E Olgin

Division of Cardiology, Hypertrophic Cardiomyopathy Center of Excellence, University of California San Francisco, San Francisco, California.
Peter A Noseworthy

Department of Cardiovascular Medicine, Mayo Clinic, Rochester, Minnesota.

Artificial Intelligence Cardiomyopathy, Hypertrophic Electrocardiography Humans

View on PubMed Access via DOI PubMed (35272798)