As healthcare systems around the world face challenges such as escalating costs, limited
access, and growing demand for personalized care, artificial intelligence (AI) is emerging as …

Myocarditis, marked by heart muscle inflammation, poses significant clinical challenges.
This study, guided by PRISMA guidelines, explores the expanding role of artificial …

This work aims to evaluate the performance of a new artificial intelligence tool (ExoAI) to
compute the left ventricular ejection fraction (LVEF) in echocardiograms of the apical and …

Cardiovascular diseases (CVDs) are the leading cause of premature death and disability
globally, leading to significant increases in healthcare costs and economic strains. Artificial …

Left ventricular (LV) ejection fraction (LVEF) is the percentage of blood ejected with each
cardiac cycle, defined as the ratio of stroke volume to LV end-diastolic volume. It is used as a …

Background Mitral regurgitation (MR) is the most common form of valvular heart disease
(VHD), and the accurate assessment of MR severity is critical for clinical management …

The intricate anatomy and complex physiological functions of the right ventricle (RV) have
historically positioned it as a challenging area within cardiovascular imaging and …

Research using artificial intelligence (AI) in cardiology has been growing rapidly, and the
number of publications on this topic is increasing exponentially [1]. Application of AI …

Аннотация В обзорной статье рассмотрены ключевые приложения искусственного
интеллекта (ИИ) в кардиологии. Структура обзора включает подразделы …

Comprehensive Summaries of Uppsala Dissertations from the Faculty of Medicine 2104. 89
pp. Uppsala: Acta Universitatis Upsaliensis. ISBN 978-91-513-2296-4. This thesis …