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Use of Artificial Intelligence to Predict Complications Following Abdominal Aortic Surgery
Sponsor: Groupe Hospitalier de la Rochelle Ré Aunis
Summary
Abdominal aortic aneurysm, a condition characterised by an increase in the diameter of the aorta, can be treated either surgically or endovascularly. In the latter, an endoprosthesis consisting of a metal spring covered with an impermeable fabric is inserted through an artery and deployed inside the aorta. This new method appears to be less invasive than surgery, but its long-term results are not yet fully understood. As a result, patients who have undergone this treatment are monitored by their surgeon to ensure that there is no endoleak. Several research teams have proposed analysing medical images to predict this risk of endoleak. Doctors are now trying to use artificial intelligence to automate the analysis of these images.
Official title: Implantation of an Endovascular Prosthesis for the Treatment of Abdominal Aortic Aneurysms: Use of a Machine Learning Model From CT Images to Predict Complications
Key Details
Gender
All
Age Range
18 Years - Any
Study Type
OBSERVATIONAL
Enrollment
300
Start Date
2025-04-14
Completion Date
2026-06-30
Last Updated
2025-06-18
Healthy Volunteers
No
Conditions
Interventions
Abdominal aortic endoprosthesis
An endoprosthesis consisting of a metal spring covered with an impermeable fabric is inserted through an artery and deployed inside the aorta.
Locations (1)
Groupe Hospitalier de la Rochelle Ré Aunis
La Rochelle, France