Latest AI and machine learning research in cardiovascular for healthcare professionals.
The orientation of a blood vessel as visualized in 3D medical images is an important descriptor of i...
Fetal echocardiography (ultrasound of the fetal heart) plays a vital role in identifying heart defec...
Ultrasound imaging is widely valued for its safety, non-invasiveness, and real-time capabilities but...
INTRODUCTION: Models derived from non-Sri Lankan cohorts are used for cardiovascular (CV) risk strat...
Prenatal sonographic diagnosis of congenital heart disease (CHD) can lead to improved morbidity and ...
Intracranial atherosclerotic stenosis (ICAS) and intracranial aneurysms are prevalent conditions in ...
BACKGROUND: Hemorrhagic transformation (HT) is a complication of reperfusion therapy following acute...
OBJECTIVE: Highly-undersampled, dynamic MRI reconstruction, particularly in multi-coil scenarios, is...
BACKGROUND: The difference between the estimated glomerular filtration rate (eGFR) calculated from c...
OBJECTIVE: To develop and validate an explainable machine learning (ML) model predicting the risk of...
INTRODUCTION: Interleukin-10 (IL-10) is a potent immunomodulatory cytokine widely explored as a ther...
INTRODUCTION: The growing demand for real-time, affordable, and accessible healthcare has underscore...
BACKGROUND: Programmed cell death plays an important role in neuronal injury and death after ischemi...
BACKGROUND: The tricuspid annular plane systolic excursion (TAPSE) assessed by echocardiography has ...
Coronary artery calcification (CAC) is a key marker of coronary artery disease (CAD) but is often un...
BACKGROUND: Acute myocardial infarction (AMI), a subset of acute coronary syndrome, remains the majo...
OBJECTIVE: We aimed to explore the application value of unsupervised machine learning in identifying...
BACKGROUND AND AIM: Changes in cognitive function are commonly associated with aging in patients wit...
INTRODUCTION: Early prognosis prediction of acute ischemic stroke (AIS) can support clinicians in ch...
BACKGROUND: Machine learning (ML) integration of clinical, metabolite, and genetic data reveals vari...
BACKGROUND: Visual assessment of coronary CT angiography (CCTA) is time-consuming, influenced by rea...