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

NCT06178744 · Status: RECRUITING · Type: OBSERVATIONAL · Enrollment: 500

Last updated 2025-06-08

No results posted yet for this study

Summary

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

Sponsors & Collaborators

Principal Investigators

  • Atta Behfar, MD, PhD · Mayo Clinic

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2024-04-04
Primary Completion
2026-05-31
Completion
2027-05-31

Countries

  • United States

Study Locations

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Entities

Companies

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT06178744 on ClinicalTrials.gov