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 …

Importance Artificial intelligence (AI), driven by advances in deep learning (DL), has the
potential to reshape the field of cardiovascular imaging (CVI). While DL for CVI is still in its …

Artificial intelligence (AI) has been developed for echocardiography,–, although it has not yet
been tested with blinding and randomization. Here we designed a blinded, randomized non …

The development of robust artificial intelligence models for echocardiography has been
limited by the availability of annotated clinical data. Here, to address this challenge and …

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 …

Deep learning has been shown to accurately assess “hidden” phenotypes from medical
imaging beyond traditional clinician interpretation. Using large echocardiography datasets …

Differential diagnosis of left ventricular hypertrophy (LVH) is often obscure on
echocardiography and requires numerous additional tests. We aimed to develop a deep …

Clinical diagnosis is essentially a data curation and analysis activity through which clinicians
seek to gather and synthesize enough pieces of information about a patient to determine …

According to the Pan American Health Organization, cardiovascular disease is the leading
cause of death worldwide, claiming an estimated 17.9 million lives each year. This paper …

The purpose of this literature review is to provide a fundamental synopsis of current research
pertaining to artificial intelligence (AI) within the domain of clinical practice. Artificial …