Artificial intelligence could make heart valve surgery safer and more precise

NCT ID NCT07632794

Ongoing Knowledge-focused Sponsor: Mi Chen Source: ClinicalTrials.gov ↗

First seen Jun 27, 2026 · Last updated Jun 27, 2026

Summary

This study tests whether artificial intelligence can help doctors see heart valve structures more clearly during a minimally invasive repair procedure called TEER. Researchers will use data from 1,500 patients who have already had the procedure to train and test the AI. The goal is to automate the recognition of valve parts and clip components, potentially making the procedure faster and more accurate.

What this could mean

Our plain-language read of the trial. This is informational only — not medical advice or a prediction.

Active substance: Artificial intelligence software
What this could lead to: If successful, this AI tool could help doctors perform mitral valve repairs more accurately and consistently, potentially improving patient outcomes.
What could go wrong: This is a retrospective study using existing data, not a prospective trial. The AI may not perform as well in real-time or in all patients, and it does not directly test a new treatment.

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.

mitral valve insufficiency

As listed by the trial registrant

The condition terms exactly as the trial's registrant entered them.

MITRAL REGURGITATION

Contacts and locations

Locations

Fuwai Hospital, Chinese Academy of Medical Sciences

Beijing, Beijing Municipality, 100037, China
IRCCS Policlinico San Donato

Milan, Italy
San Raffaele Hospital

Milan, Italy

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