AI reads heart ultrasound videos to pick best candidates for valve repair
NCT ID NCT07247890
First seen Jun 25, 2026 · Last updated Jun 27, 2026 · Updated 1 time
Summary
This study aims to create an artificial intelligence (AI) model that analyzes ultrasound videos of the heart to help doctors decide if a patient with a leaky mitral valve (mitral regurgitation) is a good candidate for a minimally invasive repair procedure called TEER. The researchers will use data from 800 patients across multiple centers to build and test the AI. The goal is to make the preoperative assessment faster, more objective, and easier to use, especially in primary care settings.
What this could mean
Our plain-language read of the trial. This is informational only — not medical advice or a prediction.
Active substance
AI model (Vision Mamba) for preoperative assessment
What this could lead to
If successful, this could provide a faster, more objective way to identify which patients with mitral regurgitation are good candidates for a minimally invasive heart valve repair, potentially improving surgical outcomes and healthcare efficiency.
What could go wrong
This is an early-stage model development study, not a treatment trial. The AI may not perform as well in real-world settings or across different patient groups, and it will need further validation before it can be used in clinical practice.
Disclaimer
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This is a summary of
the original study
.
Summaries may miss details or leave out important information. Before applying or accepting participation, make sure you have read and understood the full study. Curemydisease.com takes no responsibility whatsoever for anything missed, misunderstood, or acted upon as a result of our summary — we know it does not capture everything.
This is a summary of the original study . Summaries may miss details or leave out important information. Before applying or accepting participation, make sure you have read and understood the full study. Curemydisease.com takes no responsibility whatsoever for anything missed, misunderstood, or acted upon as a result of our summary — we know it does not capture everything.
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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.