Condition: Aorta Disease · Aorta, Thoracic Pathologies · Sponsor: Fondazione IRCCS Ca' Granda, Ospedale Maggiore Policlinico
The study aims to collect clinical data and pseudonymized CT images of patients undergoing TEVAR in order to create an anatomical digital twin capable of simulating procedural outcomes and training machine learning (ML) algorithms. This approach will support predictive models that may assist physicians in selecting the optimal medical device, improving pre-TEVAR planning, and predicting post-TEVAR complications.
This description comes directly from the study's public registry record.
SANTI TRIMARCHI, MD, PHD · +390255032438 · santi.trimarchi@policlinico.mi.it
Always discuss trial participation with your own doctor first.
| Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico | Milan, Italy | Recruiting |
Get one email when the public record changes — results posted, or the study's status changes. Nothing else, ever.
We email about this public record only. Unsubscribe anytime with one click. Never medical advice.
This page is independently generated by Eichor from the public ClinicalTrials.gov record and re-synced daily. It is not the sponsor's official website unless claimed. Nothing here is medical advice; eligibility is always determined by the study team — talk to your own doctor first.
Source record: clinicaltrials.gov/study/NCT07640828