Latest AI and machine learning research in cardiovascular for healthcare professionals.
BACKGROUND: Atrial fibrillation (AF) is a progressive disease, and its clinical type is classified a...
BACKGROUND/AIMS: To design a deep learning (DL) model for the detection of glaucoma progression with...
BACKGROUND: Predicting the clinical trajectory of individual patients with implantable cardioverter-...
The integration of Artificial Intelligence (AI) and Intelligent Learning Models (ILMs) in healthcare...
BACKGROUND AND OBJECTIVES: Early neuroprognostication in children with reduced consciousness after c...
Stroke, an abrupt cerebrovascular ailment resulting in brain tissue damage, has prompted the adoptio...
Advancements in medical imaging and endovascular grafting have facilitated minimally invasive treatm...
Current approaches for cardiac amyloidosis (CA) identification are time-consuming, labor-intensive, ...
Periventricular anastomosis (PA) is the characteristic collateral network in Moyamoya disease (MMD)....
Rapid diagnosis of acute myocardial infarction (AMI) is crucial for optimal patient management. Accu...
BACKGROUND: Aortic regurgitation (AR) is a prevalent valve disease with a long latent period before ...
BACKGROUND: The prediction of ischaemic stroke in patients with heart failure with reduced ejection ...
Type-B Aortic Dissection is a rare but fatal cardiovascular disease characterized by a tear in the i...
Currently, teleoperated robots, with the operator's input, can fully perceive unknown factors in a c...
The current investigation proposes a novel hybrid methodology for the diagnosis of the foot fracture...
Machine learning has gained attention in the medical field. Continuous efforts are being made to dev...
BACKGROUND: Kawasaki disease (KD) is an acute pediatric vasculitis that can lead to coronary artery ...
BACKGROUND: Stroke recurrence readmission poses an additional burden on both patients and healthcare...
BACKGROUND: Medical record review by a physician clinical events committee is the gold standard for ...
This study, for the first time, explores the integration of data science and machine learning for th...
BACKGROUND: Heart failure combined with hypertension is a major contributor for elderly patients (≥ ...