Pulmonary hypertension (PH) remains a challenging condition to diagnose, classify and
treat. Current approaches to the assessment of PH include echocardiography …

The depth and breadth of data produced in the modern cardiac intensive care unit (CICU)
poses challenges to clinicians and researchers. Artificial intelligence (AI) and machine …

Objectives This study sought to develop a deep learning (DL) framework to automatically
analyze echocardiographic videos for the presence of valvular heart diseases (VHDs) …

The echocardiogram is a test that is widely used in Heart Disease Diagnoses. However, its
analysis is largely dependent on the physician's experience. In this regard, artificial …

Despite a better understanding of the underlying pathogenesis of heart failure (HF),
pharmacotherapy, surgical, and percutaneous interventions do not prevent disease …

Background Despite the potential of artificial intelligence (AI) in enhancing cardiovascular
care, its integration into clinical practice is limited by a lack of evidence on its effectiveness …

Objective To evaluate a machine learning (ML)–based model for pulmonary hypertension
(PH) prediction using measurements and impressions made during echocardiography …

Background Right ventricular (RV) function is important in the evaluation of cardiac function,
but its assessment using standard transthoracic echocardiography (TTE) remains …

We created a deep learning model, trained on text classified by natural language processing
(NLP), to assess right ventricular (RV) size and function from echocardiographic images. We …

Objective The right ventricle receives less attention than its left counterpart in
echocardiography research, practice and development of automated solutions. In the work …