A Study of AI in Cardiac Transplant in Echocardiographic Analysis (ORACLE)

Description

The purpose of this research is to detect episodes of rejection versus non-rejection after cardiac transplant and the diagnostic accuracy of an Artificial Intelligence (AI) algorithm using the data from an ECG (electrocardiogram) and Cardiac Ultrasound (Echocardiogram and/or point of care ultrasound).

Conditions

Cardiac Transplant Rejection

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Study Overview

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Study Details

Study overview

The purpose of this research is to detect episodes of rejection versus non-rejection after cardiac transplant and the diagnostic accuracy of an Artificial Intelligence (AI) algorithm using the data from an ECG (electrocardiogram) and Cardiac Ultrasound (Echocardiogram and/or point of care ultrasound).

Outcome Reflection for Immune Mediated Rejection by Utilizing Artificial Intelligence in Cardiac Transplant Patients Through Early and Late Echocardiographic Analysis (ORACLE)

A Study of AI in Cardiac Transplant in Echocardiographic Analysis (ORACLE)

Condition
Cardiac Transplant Rejection
Intervention / Treatment

-

Contacts and Locations

Rochester

Mayo Clinic in Rochester, Rochester, Minnesota, United States, 55905

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

For general information about clinical research, read Learn About Studies.

Eligibility Criteria

  • * Patients undergoing post-cardiac transplant endomyocardial biopsy, and the ability to provide informed consent and a consent for the study.
  • * Refusal of study participation

Ages Eligible for Study

18 Years to

Sexes Eligible for Study

ALL

Accepts Healthy Volunteers

No

Collaborators and Investigators

Mayo Clinic,

Atta Behfar, MD, PhD, PRINCIPAL_INVESTIGATOR, Mayo Clinic

Study Record Dates

2026-12