Amit Noheria, MBBS, SM

Professional Background

Dr. Noheria is an Associate Professor of Medicine at the University of Kansas School of Medicine. He earned his medical degree in 2006 at the All India Institute of Medical Sciences in New Delhi, India. He obtained Masters of Science in Epidemiology from Harvard School of Public Health in 2007. In 2010 he completed his residency at the Mayo Clinic in Rochester, Minnesota. Following this, he did a cardiovascular disease fellowship at Cedars-Sinai/VA Medical Center in California and then an electrophysiology fellowship at the Mayo Clinic. Dr. Noheria joined the Department of Cardiovascular Medicine at the University of Kansas in the fall of 2019. He is board certified in cardiovascular disease, cardiac electrophysiology, cardiovascular computed tomography as well as adult transthoracic, transesophageal and stress echocardiography.

• MBBS, Medical Degree , All India Institute of Medical Sciences , New Delhi, India
• Other, Epidemiology , Harvard School of Public Health , Boston, Massachusetts
• Residency, Internal Medcine , Mayo Clinic , Rochester, Minnesota
• Clinical Fellowship, Cardiovascular Disease, Cedars-Sinai/VA Medical Center , Los Angeles, California
• Clinical Fellowship, Cardiac Electrophysiology , Mayo Clinic , Rochester, Minnesota

• ABIM-Clinical Cardiac Electrophysiology , American Board of Internal Medicine
• Adult Transthoracic, Transesophageal and Stress Echocardiography, National Board of Echocardiography
• Medical License , Kansas State Board of Healing Arts
• Missouri Board of Registration for the Healing Arts

• American College of Cardiology , Other, 2010 - Present
• American Heart Association , Member, 2010 - Present
• Heart Rhythm Society , Affiliate , 2010 - Present

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Research

Overview

I have had strong foundational training in cardiovascular electrophysiology and research methodology, with a focus on epidemiological and biostatistical methods. My research interests are in improvement and optimization of device- and catheter-based treatments of heart rhythm disorders with a particular interest in treatment of electrical contributions to heart failure, and rhythm treatments in populations including advanced heart failure and congenital heart disease. I have successfully completed multiple research projects culminating in peer-reviewed publications and incorporation of findings in clinical guideline documents, and have been supported by the American College of Cardiology Presidential Career Development Award. My more recent research interests are in developing a Digital Health program at The University of Kansas Cardiovascular Department, and exploring machine learning methods for ECG interpretation and other applications.

• Deep AI Encoded ECGs for Cardiovascular Health Prediction and Explainability, American Heart Association, PI