Recent years have witnessed significant transformations in cardiovascular medicine, driven
by the rapid evolution of artificial intelligence (AI). This scoping review was conducted to …

Screening for left ventricular systolic dysfunction (LVSD), defined as reduced left ventricular
ejection fraction (LVEF), deserves renewed interest as the medical treatment for the …

Artificial intelligence (AI) can detect left ventricular systolic dysfunction (LVSD) from
electrocardiograms (ECGs). Wearable devices could allow for broad AI-based screening but …

Nigeria has the highest reported incidence of peripartum cardiomyopathy worldwide. This
open-label, pragmatic clinical trial randomized pregnant and postpartum women to usual …

Digital twins, which are in silico replications of an individual and its environment, have
advanced clinical decision-making and prognostication in cardiovascular medicine. The …

Heart Failure (HF) poses a challenge for our health systems, and early detection of
Worsening HF (WHF), defined as a deterioration in symptoms and clinical and instrumental …

(1) Background: The purpose of this study is to review and highlight recent advances in
diagnostic uses of artificial intelligence (AI) for cardiac diseases, in order to emphasize …

Japanese Encephalitis (JE) is the leading cause of viral encephalitis in regions with
endemic Japanese Encephalitis Virus (JEV) infections. Background/Objectives: The aim of …

Importance: Despite the availability of disease-modifying therapies, scalable strategies for
heart failure (HF) risk stratification remain elusive. Portable devices capable of recording …

Introduction: Point-of-care ultrasound has become a universal practice, employed by
physicians across various disciplines, contributing to diagnostic processes and decision …