Latest AI and machine learning research in hypertension for healthcare professionals.
Metabolic syndrome (MetS) is a complex disorder characterized by a cluster of metabolic abnormalitie...
Heart failure (HF) is defined as the inability of the heart to meet body oxygen demand requiring an ...
Recent breakthroughs in artificial intelligence (AI) have caught the attention of many fields, inclu...
Hypertension is among the most important risk factors for cardiovascular disease, chronic kidney dis...
Deep neural networks have shown excellent performance in medical image segmentation, especially for ...
PURPOSE OF REVIEW: Pulmonary hypertension is a heterogeneous condition with significant morbidity an...
Heart failure (HF) is associated with high rates of morbidity and mortality. The value of deep learn...
Continuous blood pressure (BP) provides essential information for monitoring one's health condition....
We sought to validate the ability of a novel handheld ultrasound device with an artificial intellige...
Although artificial intelligence (AI) is considered to be a promising tool, evidence for the effecti...
Biosignals collected by wearable devices, such as electrocardiogram and photoplethysmogram, exhibit ...
Stress is the inherent sensation of being unable to handle demands and occurrences. If not properly ...
Machine learning algorithms are frequently used to clinical risk prediction. Our study was designed ...
Sarcopenic obesity (SO) is characterized by concomitant sarcopenia and obesity and presents a high r...
Radial applanation tonometry is a well-established technique for hemodynamic monitoring and is becom...
Hypertension, a widespread cardiovascular issue, presents a major global health challenge. Tradition...
This study aimed to develop several new machine learning models based on hibernating myocardium to p...
Nifedipine (NIF) is a dihydropyridine calcium channel blocker primarily used to treat conditions suc...
Atrial fibrillation (AF) is the most common clinically significant cardiac arrhythmia and is an impo...
PURPOSE: Tricuspid valve flow velocities are challenging to measure with cardiovascular MR, as the r...
We construct non-linear machine learning (ML) prediction models for systolic and diastolic blood pre...