Bicuspid aortic valve (BAV) disease is the most common form of congenital heart valve
defect. It is associated with aortic stenosis (AS), aortic insufficiency, and aortopathy …

Artificial intelligence (AI) is gradually changing every aspect of social life, and healthcare is
no exception. The clinical procedures that were supposed to, and could previously only be …

Accurate planning of transcatheter aortic valve implantation (TAVI) is important to minimize
complications, and it requires anatomic evaluation of the aortic root (AR), commonly …

Objectives To develop and validate a deep learning–based algorithm for segmenting and
quantifying the physiological and diseased aorta in computed tomography angiographies …

Anatomic landmark detection is crucial during preoperative planning of transcatheter aortic
valve implantation (TAVI) to select the proper device size and assess the risk of …

Background Computed tomography angiography (CTA) is a preferred imaging technique for
a wide range of vascular diseases. However, extensive manual analysis is required to detect …

Purpose Careful assessment of the aortic root is paramount to select an appropriate
prosthesis for transcatheter aortic valve implantation (TAVI). Relevant information about the …

Purpose Analyzing the anatomy of the aorta and left ventricular outflow tract (LVOT) is
crucial for risk assessment and planning of transcatheter aortic valve implantation (TAVI). A …

Background: Artificial intelligence (AI) has emerged as a transformative technology in
healthcare, with its integration into cardiac surgery offering significant advancements in …

Precise assessment of calcification lesions in the Aortic Root (AR) is relevant for the success
of the Transcatheter Aortic Valve Implantation (TAVI) procedure. To this end, the radiologists …