Latest AI and machine learning research in congestive heart failure for healthcare professionals.
BACKGROUND: While echocardiography is pivotal for detecting left ventricular hypertrophy (LVH), it s...
BACKGROUND: Systemic embolic events due to exfoliation of intracardiac thrombus (ICT) are one of the...
Malignant cerebral edema (MCE) is a severe complication of acute ischemic stroke, with high mortalit...
BACKGROUND: Diabetic cardiomyopathy (DC) is a serious complication in patients with type 1 diabetes ...
This study aimed to explore the combined impacts of occupational noise and dust on hearing and extra...
Hypothyroidism, a common endocrine disorder, has a high incidence in women and increases with age. L...
Right ventricular (RV) end-diastolic volume (RVEDV) and ejection fraction (RVEF) by cardiac MRI (cMR...
Advanced imaging techniques, like magnetic resonance imaging (MRI), have revolutionised cardiovascul...
BACKGROUND: High altitude pulmonary edema (HAPE) poses a significant medical challenge to individual...
To retrospectively analyze the clinical characteristics of pediatric scrub typhus (ST) with meningoe...
Systolic function assessment is essential in children with congenital heart disease. Traditional met...
IMPORTANCE: While prospective studies have investigated the accuracy of artificial intelligence (AI)...
BACKGROUND: Cardiopulmonary exercise testing (CPET) is used in the evaluation of unexplained dyspnea...
BACKGROUND: Malignant cerebral edema (MCE) is a significant complication following endovascular thro...
Radiocontrast media is a major cause of nephrotoxic acute kidney injury(AKI). Contrast-enhanced CT(C...
Analyzing cardiac pulse waveforms offers valuable insights into heart health and cardiovascular dise...
Respiratory rate (RR) changes in the elderly can indicate serious diseases. Thus, accurate estimatio...
This study aims to investigate the association between visit-to-visit blood pressure variability (VV...
BACKGROUND: Intraoperative hypotension (IOH) and tachycardia are associated with perioperative myoca...
PURPOSE: To utilize a convolutional neural network (CNN) to predict the response of treatment-naïve ...
The accurate diagnosis of retinal diseases, such as Diabetic Macular Edema (DME) and Age-related Mac...