Clinical trial Recruiting at 15 sites Observational Ages 18 and up

Using AI to improve planning for transcatheter heart valve procedures

Official title: Enhanced Valves Interventions and Safe AI Generated End Results

Run by Montreal Heart Institute · NCT07213531 · Data updated 2026-11-12

This project uses AI to analyze CT and echo images to see if it can better predict outcomes for people who had transcatheter aortic, mitral, or tricuspid valve procedures.

Quick facts

Study typeObservational
Ages18 Years and up
SexAll
Enrollment21000 (estimated)
SponsorMontreal Heart Institute
Academic / other
Locations15 sites (New York, New York and 14 other locations)
StatusRecruiting
StartedMay 1, 2024
Main results expectedMay 2028
Study endsMay 2029
Registry record updatedOctober 9, 2025
Trial IDNCT07213531 on ClinicalTrials.gov

Is this trial a fit for you?

Likely a good fit

Adults who underwent TAVI, TMVI, TTVI, or M-TEER with the specified device generations and who have high-quality pre-procedural ECG-gated CT or vendor-specific TEE image datasets available are ideal candidates for inclusion.

Probably not a fit

Patients without high-quality pre-procedural CT or TEE images, those treated with unsupported/older device generations, or with incomplete clinical data are unlikely to benefit from the AI predictions.

A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.

What this trial studies

This is a non-interventional, retrospective, multicenter project that applies deep learning (including convolutional neural networks) to multi-slice cardiac CT and vendor-specific transesophageal echocardiography to automate segmentation and measurements. The AI framework combines these imaging-derived measurements with pre-procedural clinical data to predict procedural success for TAVI, TMVI, TTVI, and M-TEER. The work aims to standardize measurements, reduce inter-observer variability, and support patient selection and procedural planning. Data are collected from specialized centers worldwide and processed centrally for validation of the predictive models.

Why it matters

Potential benefit: If successful, this could help doctors choose the best patients and plan transcatheter valve procedures more accurately, potentially reducing complications and improving outcomes.

How similar studies have gone: Previous smaller studies have shown promising results for AI-based cardiac image segmentation and outcome prediction, but broad multicenter validation across multiple valve types is still limited.

Who can join: the full rules

Show full inclusion / exclusion criteria
Inclusion Criteria:

Patients who have reached the age of legal majority under local laws.

* For TAVI group: All patients who have had TAVI with a third generation transcatheter heart valve (THV), with an available pre-procedural optimal quality CT scan as defined by an ECG- gating CT with:

  1. five to ten image volumes at cardiac phases from 5% to 95% R-R
  2. 0.625 mm slice thickness
  3. 0.625 mm spacing between slices
  4. 0.88 mm in-plane pixel spacing
* For TMVI group: Patients who have had a TMVI with a dedicated device and screen failures, with an available optimal quality CT scan.
* For TTVI group: Patients who have had a TTVI with a dedicated device and screen failures, with an available optimal quality CT scan.
* For M-TEER: All patient who have had a M-TEER with 1) G4 or newer iteration of MitraClip or 2) G2 or newer iteration of Pascal, with available pre-procedural TEE videos images from one of two vendors: Phillips or GE, with clear identifiable views of the Mitral valve, frame per second equal or higher than 40 frames per second, acceptable 3D reconstructions.
* For T-TEER: All patient who have had a T-TEER with G4 or newer iteration of TriClip or 2) G2 or newer iteration of Pascal, with available pre-procedural TEE videos images from one of two vendors: Phillips or GE, with clear identifiable views of the Tricuspid valve, frame per second equal or higher than 40 frames per second, acceptable transgastric image with acceptable 3D reconstructions.

Exclusion Criteria:

* For TAVI group: Valve-in-valve procedures
* For TMVI group: Valve-in-valve and valve-in-ring procedures
* For TTVI: Valve-in-valve and valve-in-ring procedures
* For M-TEER: G3 or older MitraClip, G1 Pascal
* For T-TEER: G3 Triclip, G1 Pascal

Where it's running

  • Montefiore Medical Center New York
    New York, New York, United States
    Recruiting
  • Montreal Heart Institute, 5000 Rue Bélanger, Montréal
    Montreal, Quebec, Canada
    Recruiting
  • St Michael's Hospital Toronto
    Toronto, Canada
    Recruiting
  • St Paul's Hospital Vancouver
    Vancouver, Canada
    Recruiting
  • Centre Hospitalier Universitaire (CHU) de Bordeaux, 12 rue Dubernat 33404 Talence cedex
    Bourdeaux, France
    Recruiting
  • CHU Lille
    Lille, France
    Recruiting
Show 9 more locations
  • CHU Marseille
    Marseille, France
    Recruiting
  • Centre Cardiologique du Nord Paris
    Paris, France
    Recruiting
  • Institut Cardiovasculaire Paris-Sud Paris
    Paris, France
    Recruiting
  • Centre Hospitalier Universitaire Rennes
    Rennes, France
    Recruiting
  • Clinque Pasteur Toulouse - France
    Toulouse, France
    Recruiting
  • University Medical Center Hamburg-Eppendorf
    Hamburg, Germany
    Recruiting
  • Heart Valve Center Mainz
    Mainz, Germany
    Recruiting
  • Istituto Clinico Città di Brescia
    Brescia, Italy
    Recruiting
  • San Raffaele Heart Valve Center Milan
    Milan, Italy
    Recruiting

Study contacts

Similar studies

Other studies for the same condition or treatment. Recruiting studies are listed first.

How to take part

  1. Review the eligibility criteria above with your treating physician.
  2. Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
  3. Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.
Last reviewed 2026-11-14 by the Find a Trial editorial team. Information on this page is for educational purposes and is not medical advice. Always consult qualified healthcare professionals about clinical trial participation.