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Function of Artificial Intelligence-enabled Electrocardiogram in Early Detection of Patients With Aortic Stenosis

Overview

About this study

The purpose of this study is to determine the performance of AI-ECG as a screening tool in clinical practice identifying patients with moderate or severe AS, to determine the ability of POCUS in detecting moderate or severe AS amongst in patients with positive AI-ECG.

Additionally, to identify which clinical features (presence of cardiac murmur, prevalence of hypertension, age or sex) can improve decision making process of applying echocardiography exam in patients with positive AI-ECG.

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:

  • ≥ 18 years of age.
  • Patients with positive AI-ECG for AS within 1 year or current will be retrospectively and prospectively identified.

Exclusion Criteria: 

  • Patients with previous valve surgery, permanent pacemaker, active infective endocarditis, or those who have already been diagnosed as AS.

Eligibility last updated 6/20/22. 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

Rochester, Minn.

Mayo Clinic principal investigator

Jae Oh, M.D.

Open for enrollment

Contact information:

Halley Davison

(507) 422-6246

davison.halley@mayo.edu

More information

Publications

Publications are currently not available

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CLS-20541170

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