U.S., June 12 -- ClinicalTrials.gov registry received information related to the study (NCT07640828) titled 'Digital Twin and Ml-basEd MOdel of TEVAR Interventions' on May 04.
Brief Summary: 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.
Study Start Date: Feb. 11
Study Type: OBSERVATIONAL
Condition:
Aorta Disease
Aorta, Thoracic Pathologies
Recruitment Status: RECRUITING
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