A Study to Detect Asymptomatic Left Ventricular Dysfunction by Application of Artificial Intelligence to the Surface Electrocardiogram

Overview

About this study

The purpose of this study is to describe and assess the performance of a surface ECG AI algorithm to detect patients with asymptomatic left ventricular dysfunction.

Participation eligibility

Participant eligibility includes age, gender, type and stage of disease, and previous treatments or health concerns. Guidelines differ from study to study, and identify who can or cannot participate. There is no guarantee that every individual who qualifies and wants to participate in a trial will be enrolled. Please contact the study team to discuss whether or not you are eligible to participate in a study.

Inclusion Criteria: 

  • Patients who have an ECG performed at Mayo Clinic Rochester.
  • Live within 75 miles of Mayo Clinic Rochester.
  • Willing to give informed consent.

Exclusion Criteria: 

  • Patients with known heart failure.
  • Patients with any cardiac device (pacemaker, ICD).
  • Pregnant or lactating woman.

 

Participating Mayo Clinic locations

Study statuses change often. Please contact the study team for the most up-to-date information regarding possible participation.

Mayo Clinic Location Status Contact

Rochester, Minn.

Mayo Clinic principal investigator

Peter Noseworthy, M.D.

Open for enrollment

Contact information:

Jennifer Dugan

(507)538-1125

Dugan.Jennifer@mayo.edu

More information

Publications

Publications are currently not available

Study Results Summary

Not yet available

Supplemental Study Information

Not yet available

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CLS-20462228

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