AI could spot heart transplant rejection without a biopsy
NCT ID NCT06178744
First seen Jun 27, 2026 ยท Last updated Jun 27, 2026
Summary
This study at Mayo Clinic is testing whether an artificial intelligence (AI) program can detect heart transplant rejection using standard tests like ECG and ultrasound. Researchers will enroll 500 heart transplant patients and compare the AI's findings to biopsy results. If it works, this approach could make rejection monitoring faster and less invasive.
What this could mean
Our plain-language read of the trial. This is informational only โ not medical advice or a prediction.
- Active substance
- Artificial intelligence algorithm analyzing ECG and cardiac ultrasound images
- What this could lead to
- If successful, this AI could help doctors detect heart transplant rejection earlier and more accurately, potentially reducing the need for invasive biopsies.
- What could go wrong
- This is an early-stage study focused on diagnostic accuracy, not treatment. The AI may not perform well enough in real-world settings, and results may not apply to all patients.
This is an AI summary of the original study and may miss details. Read our disclaimer.
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Conditions
The condition(s) this trial relates to.
As listed by the trial registrant
The condition terms exactly as the trial's registrant entered them.
Contacts and locations
Locations
-
Mayo Clinic in Rochester
RECRUITINGRochester, Minnesota, 55905, United States