AI for Heart Valve Interventions (ENVISAGE Study)
This study, called ENVISAGE, is looking at how artificial intelligence (AI) can help doctors better predict the results of heart valve procedures. These procedures include TAVI (Transcatheter Aortic Valve Implantation), M-TEER (Mitral Transcatheter Edge-to-Edge Repair), TTVI (Transcatheter Tricuspid Valve Implantation), and TMVI (Transcatheter Mitral Valve Implantation). Researchers will use AI to analyze medical images and patient information to see if it can accurately predict how well these procedures will work. The goal is to improve patient selection and planning for these important heart valve treatments. This study is for adults aged 18 and older who have had a TAVI procedure and have specific CT scans available. Success will be measured by how accurate the AI predictions are compared to actual patient outcomes 30 days after the procedure. The study status is unclear.
- Study design
- This is an observational study, meaning researchers will analyze existing data rather than giving new treatments. It aims to include 21,000 participants.
- What's involved
- Not specified in the trial record.
- Compensation
- Not stated in the trial record.
- Follow-up
- The study will compare predicted results with actual patient outcomes 30 days after the procedure.
AI-generated from the public study record. Only the study team can confirm whether you're eligible — confirm details with them before making decisions.
Enhanced Valves Interventions and Safe AI Generated End Results
At a glance
Conditions
Where it's being run
15 sites across 6 statesStudy leadership
- Thomas Modine, MD, PhD · PRINCIPAL_INVESTIGATOR · University Hospital Bordeaux, France
- Walid Ben Ali, MD, PhD · PRINCIPAL_INVESTIGATOR · Montreal Heart Institute
Who to contact
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Do you actually qualify for this trial?
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Inclusion
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What this trial measures
- Accuracy of transcatheter AI predictionsPreoperative phase: automated segmentation and measurements compared with manual assessments; Postoperative phase at day 30: comparison of predicted results with actual clinical patient outcomes.
Validation of artificial intelligence algorithms for automatic segmentation of anatomic structures and imaging measurements, and prediction of the success of transcatheter interventions. Output of AI algorithm: * Sizes, types, and number of devices to be implanted * Device success * Percentage risk of permanent pacemaker implantation (for TAVI and TTVI) * Percentage risk of 30-day (para)valvular regurgitation for TAVI, and residual regurgitation for M-TEER and T-TEER * Single leaflet detachment for M-TEER and T-TEER * Left ventricular outflow tract obstruction for TMVI. Key success indicators: * First, independent retrospective validation dataset AI algorithms predict procedural outcome with \>90% accuracy and low inter-reader observer variability when compared to measured procedural outcome. * Second independent retrospective dataset, perform a study to validate AI algorithms with \>90% accuracy and low inter-reader observer variability when compared to measured procedural outcome.