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Evaluating ECG-based Artificial Intelligence Predictions Across Devices

Overview

About this study

The aim of this study is to compare artificial intelligence (AI) based disease predictions across different electrocardiogram (ECG) devices. The ECG is a test that records your heart’s rhythm. The goal is to evaluate the impact of ECG device type on AI-based heart disease predictions.

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. Contact the study team to discuss study eligibility and potential participation.

Inclusion Criteria:

  • Adults 18 years or older.
  • Willing and able to sign consent.
  • Have up to three (3) 12-lead ECGs completed.

Exclusion Criteria:

  • Unwilling or unable to sign consent.

Eligibility last updated 2/23/22. Questions regarding updates should be directed to the study team contact.

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

Jacksonville, Fla.

Mayo Clinic principal investigator

Demilade Adedinsewo, M.B., Ch.B.

Contact us for the latest status

Contact information:

Andrea Morales Lara M.D.

(904) 953-8900

MoralesLara.Andrea@mayo.edu

More information

Publications

Publications are currently not available

More about research at Mayo Clinic

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CLS-20528848

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