AIMS: This study sought to examine the feasibility, accuracy and reproducibility of a novel, fully automated 2D transthoracic echocardiography (2D TTE) parasternal long axis (PLAX) view aortic measurements quantification software compared to board-ce...
BACKGROUND: Traditional statistics, based on prediction models with a limited number of prespecified variables, are probably not adequate to provide an appropriate classification of a condition that is as heterogeneous as aortic stenosis (AS).
A 76-year-old male patient was referred to our institution with moderate-to-severe aortic and mitral insufficiency. The patient underwent totally endoscopic robot-assisted aortic valve replacement and mitral valve repair. In this article, we present ...
This work was aimed to explore the role of CT angiography information provided by deep learning algorithm in the diagnosis and complications of the disease focusing on congenital aortic valve disease and severe aortic valve stenosis. 120 patients who...
BACKGROUND AND AIM OF THE STUDY: Robotic technology provides excellent visualization and surgical precision and it is reaching maturity in cardiac surgery, although mostly confined to mitral surgery and coronary revascularization. Robotic aortic valv...
IEEE transactions on bio-medical engineering
Mar 18, 2021
OBJECTIVE: Aortic valve disease is the most common heart disease in the elderly calling for replacement with an artificial valve. The presented surgical robot aims to provide a highly controllable instrument for efficient delivery of an artificial va...
Journal of the mechanical behavior of biomedical materials
Feb 12, 2021
Machine learning and deep learning frameworks have been presented as a substitute for lengthy computational analysis, such as finite element analysis, computational fluid dynamics, and fluid-structure interaction. In this study, our objective was to ...
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