Latest AI and machine learning research in congestive heart failure for healthcare professionals.
This study was aimed at exploring the new management mode of medical information processing and emer...
One of the leading causes of deaths around the globe is heart disease. Heart is an organ that is res...
Cardiovascular disorders, including atrial fibrillation (AF) and congestive heart failure (CHF), are...
Using deep learning models to analyze patients with intracranial tumors, to study the image segmenta...
The disruption in healthcare attention to people with alcohol dependence, along with psychological d...
Global targets to reduce salt intake have been proposed, but their monitoring is challenged by the l...
This study looked at novel data sources for cardiovascular risk prediction including detailed lifest...
This study was aimed at investigating the location of gastric cancer by using a gastroscope image ba...
This work addresses the design, development and implementation of a 4.0-based wearable soft transduc...
PURPOSE: To validate the generalizability of a deep learning system (DLS) that detects diabetic macu...
Automatic cardiac chamber and left ventricular (LV) myocardium segmentation over the cardiac cycle s...
Atrial fibrillation (AF) is the most common arrhythmia and is associated with increased thromboembo...
The efforts made to prevent the spread of COVID-19 face specific challenges in diagnosing COVID-19 p...
BACKGROUND: Variation in lamin A/C results in a spectrum of clinical disease, including arrhythmias ...
Today, accurate and automated abnormality diagnosis and identification have become of paramount impo...
AIMS: This sub-study deriving from a multicentre Italian register [Deformation Imaging by Strain in ...
BACKGROUND: Left ventricular systolic dysfunction (LVSD) in Chagas disease (ChD) is relatively commo...
OBJECTIVES: Dilated cardiomyopathy (DCM) is characterized by a specific transcriptome. Since the DCM...
BACKGROUND: Echocardiography is the diagnostic modality for assessing cardiac systolic and diastolic...
AIMS: Noncompaction cardiomyopathy (NCC) is considered a genetic cardiomyopathy with unknown pathoph...
Traditional approach for predicting coronary artery disease (CAD) is based on demographic data, symp...