Latest AI and machine learning research in congestive heart failure for healthcare professionals.
MR imaging is central to the assessment of tumor burden and changes over time in neuro-oncology. Sev...
Purpose To develop a machine learning approach for classifying disease progression in chest radiogra...
Tepotinib is approved for the treatment of patients with non-small-cell lung cancer harboring MET ex...
Understanding the mechanisms of interactions within cells, tissues, and organisms is crucial to dr...
Hypertrophic cardiomyopathy (HCM) is a hereditary cardiac disorder marked by anomalous thickening of...
The rapid advancements in artificial intelligence (AI), particularly the Large Language Models (LL...
Applications of Artificial Intelligence (AI) deep-learning models to screening for clinical conditio...
Recent artificial intelligence (AI) advancements in cardiovascular medicine offer potential enhancem...
Pancreatitis is a major public health issue world-wide; studies show an increase in the number of pe...
The seismocardiographic signal is a promising alternative to the traditional ECG in the analysis of ...
In the hemodynamic management of anesthetized patients during surgical operation, minimally invasive...
Reducing electrophysiological (EP) signal noise is essential for diagnosis, mapping, and ablation, y...
OBJECTIVE: To predict the risk of in-hospital death in patients with chronic heart failure (CHF) com...
This paper introduces a dataset of article processing charges (APCs) produced from the price lists...
We present a versatile open-source framework designed to facilitate efficient, numerically-tailore...
Ageing is a heterogeneous multisystem process involving different rates of decline in physiological ...
BACKGROUND: Precapillary pulmonary hypertension (PH) is characterized by a sustained increase in rig...
PURPOSE: To visualize and quantify structural patterns of optic nerve edema encountered in papillede...
Blood pressure variability (BPV) plays a critical role in vascular diseases, particularly in acute i...
Purpose To develop an end-to-end deep learning (DL) pipeline for automated ventricular segmentation ...
Comprehensive management approaches for patients with ischemic heart disease (IHD) are important aid...