Latest AI and machine learning research in congestive heart failure for healthcare professionals.
Biometric systems using physiological signals have shown high identification accuracy (IA) and low E...
BACKGROUND: Mitral regurgitation and tricuspid regurgitation frequently coexist and are evaluated us...
BACKGROUND: Peripheral artery disease (PAD) is a leading cause of limb loss and morbidity worldwide,...
SIGNIFICANCE: This systematic review comprehensively synthesises the progress of artificial intellig...
Emphysema, a primary component of chronic obstructive pulmonary disease (COPD), causes progressive d...
BACKGROUND: Hypertrophic cardiomyopathy (HCM) is the most common inherited cardiovascular disease. R...
BACKGROUND: The purpose of this study was to create a risk score for mortality within 3 years of ele...
BACKGROUND AND OBJECTIVE: Cerebral aneurysms affect 2-5% of the global population and pose a signifi...
Retinal age gap (RAG)-the difference between retina-predicted age and chronological age-indicates bi...
Active arterial mechanics, governed by vascular smooth muscle contraction, are critical to physiolog...
Long-term effectiveness of digital health interventions for hypertension remains unclear, particular...
OBJECTIVE: In hypertrophic cardiomyopathy (HCM), detection of coronary microcirculatory dysfunction ...
BACKGROUND: This study compared changes in percentage atheroma volume (PAV) using an end-diastolic (...
OBJECTIVE: This study aimed to develop and validate a machine learning (ML) model to predict the nee...
UNLABELLED: Anthracycline-induced cardiotoxicity remains a significant clinical challenge. We evalua...
The validation of promising clinical biomarkers, molecular mechanisms, and novel drug targets in car...
Accurate quantification of mitral regurgitation (MR) is essential for preprocedural evaluation and i...
BACKGROUND: Deep learning (DL) has shown promise in delivering diagnostic and economic benefits for ...
BACKGROUND: Renal interstitial inflammation (RII) is a frequent pathological feature in IgA nephropa...
BACKGROUND: Site selection and qualification represent critical operational challenges in clinical t...
Convolutional neural networks have become the foundation of image-inference tasks, with systolic arr...