AI in Cardiac Transplant Echocardiographic Analysis (ORACLE)
This study, called ORACLE, is looking at how well Artificial Intelligence (AI) can help detect rejection after a heart transplant. Researchers are using AI to analyze data from your electrocardiogram (ECG, a test that checks your heart's electrical activity) and cardiac ultrasound (echocardiogram, a test that uses sound waves to create images of your heart). The goal is to see if the AI can accurately identify episodes of rejection, such as acute cellular rejection or antibody-mediated rejection, or a significant drop in your heart's pumping ability. You may be able to join if you are 18 or older, have had a heart transplant, and are undergoing a post-transplant endomyocardial biopsy (a procedure to take a small tissue sample from your heart). The study aims to enroll 500 participants.
- Study design
- This is an observational study with a planned enrollment of 500 participants. It is not specified if it is a specific phase of research.
- What's involved
- You would need to be undergoing a post-cardiac transplant endomyocardial biopsy and provide informed consent for the study.
- Compensation
- Not stated in the trial record.
- Follow-up
- The primary endpoint measures are assessed at 2 years.
AI-generated from the public study record. Only the study team can confirm whether you're eligible — confirm details with them before making decisions.
A Study of AI in Cardiac Transplant in Echocardiographic Analysis (ORACLE)
At a glance
Conditions
Where it's being run
1 sites across 1 statesStudy leadership
- Atta Behfar, MD, PhD · PRINCIPAL_INVESTIGATOR · Mayo Clinic
Who to contact
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Do you actually qualify for this trial?
Add a private profile and we'll compare every criterion below against your situation — and tell you which ones are met, uncertain, or excluding.
Inclusion
Exclusion
What this trial measures
- Number of episodes identified by the Artificial Intelligence (AI) algorithm as 1R or greater acute cellular rejection, grade 1 or greater antibody mediated rejection, reduction in LVEF to <50%, or a drop in LVEF >5%2 years
Number of episodes identified by the AI algorithm as 1R or greater acute cellular rejection, grade 1 or greater antibody mediated rejection, reduction in LVEF to \<50%, or a drop in LVEF \>5% utilizing electrocardiograms and cardiac ultrasound images/videos obtained from point of care ultrasound (POCUS) or echocardiograms.