Latest AI and machine learning research in cardiovascular for healthcare professionals.
Coronary artery disease (CAD) is a leading cause of mortality in the world. It is important to be ab...
Smoking is a major cause of premature and preventable death. Tobacco exposure has a detrimental effe...
PURPOSE: To develop and validate a deep learning (DL)-model for automatic reconstruction for coronar...
: Robotics is commonly used in the rehabilitation of neuro-musculoskeletal injuries and diseases. Wh...
BACKGROUND: Early recognition, which preferably happens in primary care, is the most important tool ...
Superficial temporal artery-middle cerebral artery (STA-MCA) bypass surgery represents the primary t...
Heart failure (HF) is defined as the inability of the heart to meet body oxygen demand requiring an ...
AIM OF THE STUDY: This study aimed to develop an artificial intelligence (AI) model capable of predi...
BACKGROUND: Artificial intelligence (AI) has emerged as a tool to potentially increase the efficienc...
Hyperspectral imaging (HSI) is gaining increasing relevance in medicine, with an innovative applicat...
BACKGROUND: Ventricular volumetry using a short-axis stack of two-dimensional (D) cine balanced stea...
As the number of patients with cardiovascular diseases (CVDs) increases annually, a reliable and aut...
Electrocardiogram (ECG) changes after primary percutaneous coronary intervention (PCI) in ST-segment...
Hypertension is among the most important risk factors for cardiovascular disease, chronic kidney dis...
Recent breakthroughs in artificial intelligence (AI) have caught the attention of many fields, inclu...
BACKGROUND: Steatotic liver disease (SLD) is associated with adverse cardiac events. Metabolic dysfu...
INTRODUCTION: Myocardial perfusion imaging (MPI) is one of the most commonly ordered cardiac imaging...
This research study demonstrates an efficient scheme for early detection of cardiorespiratory compli...
By September 2022, more than 600 million cases of SARS-CoV-2 infection have been reported globally, ...
BACKGROUND: Vessel-wall volume and localized three-dimensional ultrasound (3DUS) metrics are sensiti...
BACKGROUND: Methods to monitor cardiac functioning non-invasively can accelerate preclinical and cli...