Latest AI and machine learning research in congestive heart failure for healthcare professionals.
BACKGROUND: Premature ventricular complexes (PVCs) are prevalent and, although often benign, they ma...
Glioma is the most common primary intracranial neoplasm in adults. Radiotherapy is a treatment appro...
BACKGROUND: Native T1 and radiomics were used for hypertrophic cardiomyopathy (HCM) and hypertensive...
Recommender systems are chiefly renowned for their applicability in e-commerce sites and social medi...
AIMS: To improve monitoring of cardiac function during major surgery and intensive care, we have dev...
Background: Hemorrhage remains the leading cause of death on the battlefield. This study aims to ass...
In this paper, a multi-stage deep learning blood pressure prediction model based on imaging photople...
SIGNIFICANCE: The shortwave infrared (SWIR, to 2000Â nm) holds promise for label-free measurements o...
Echocardiography is a commonly used and cost-effective test to assess heart conditions. During the t...
Mapping gene networks requires large amounts of transcriptomic data to learn the connections between...
BACKGROUND: A quantitative assessment of pulmonary edema is important because the clinical severity ...
. The aim of this study is to investigate continuous blood pressure waveform estimation from a pleth...
Cardiac monitoring can be performed by means of an accelerometer attached to a subject's chest, whic...
In recent years, cardiovascular diseases (CVDs) have become one of the leading causes of mortality g...
Accurate segmentation of the left ventricle (LV) is crucial for evaluating myocardial perfusion SPEC...
Early diagnosis of interstitial lung diseases secondary to connective tissue diseases is critical fo...
PURPOSE: The purpose of this study was to develop and evaluate a deep learning model to detect bone ...
The current artificial intelligence (AI) models are still insufficient in multi-disease diagnosis fo...
BACKGROUND: Quantification of chamber size and systolic function is a fundamental component of cardi...
Quantifying the flow of cerebrospinal fluid (CSF) is crucial for understanding brain waste clearance...
Toxicology studies heavily rely on morphometric analysis to detect abnormalities and diagnose diseas...