Echocardiography is an integral part of the diagnosis and management of cardiovascular
disease. The use and application of artificial intelligence (AI) is a rapidly expanding field in …

Developments in artificial intelligence (AI) have led to an explosion of studies exploring its
application to cardiovascular medicine. Due to the need for training and expertise, one area …

Abstract Background and Aims Early diagnosis of aortic stenosis (AS) is critical to prevent
morbidity and mortality but requires skilled examination with Doppler imaging. This study …

In this EACVI clinical scientific update, we will explore the current use of multi-modality
imaging in the diagnosis, risk stratification, and follow-up of patients with aortic stenosis, with …

Current guidelines recommend that clinical surveillance for patients with moderate aortic
stenosis (AS) and aortic valve replacement (AVR) may be considered if there is an indication …

Background Aortic stenosis (AS) is a common form of valvular heart disease, present in over
12% of the population age 75 years and above. Transthoracic echocardiography (TTE) is …

Despite numerous promising therapeutic targets, there are no proven medical treatments for
calcific aortic stenosis (AS). Multiple stakeholders need to come together and several …

Background Disease progression in patients with mild-to-moderate aortic stenosis is
heterogenous and requires periodic echocardiographic examinations to evaluate severity …

Artificial Intelligence (AI), through deep learning, has brought automation and predictive
capabilities to cardiac imaging. However, despite considerable investment, tangible health …

Purpose The aim of this study is to develop a machine learning model to identify important
clinical features related to rotator cuff tears (RCTs) using explainable artificial intelligence …