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

Overview

  • Study type

    Observational
  • Study IDs

  • Describes the nature of a clinical study. Types include:

    • Observational study — observes people and measures outcomes without affecting results.
    • Interventional study (clinical trial) — studies new tests, treatments, drugs, surgical procedures or devices.
    • Medical records research — uses historical information collected from medical records of large groups of people to study how diseases progress and which treatments and surgeries work best.
  • Site IRB
    • Rochester, Minnesota: 18-012055
    Sponsor Protocol Number: 18-012055

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. If you need assistance understanding the eligibility criteria, please contact the study team.

See eligibility criteria

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 us for help.

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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