Latest AI and machine learning research in congestive heart failure for healthcare professionals.
Background: Late Gadolinium Enhancement (LGE) imaging is the gold standard for assessing myocardia...
Mutation in calcium-binding proteins (CBPs) can significantly influence Ca2+ binding affinity (BA), ...
Dyspnea is the subjective sensation of breathing discomfort. This symptom is highly prevalent in pat...
Recent genome-wide association studies (GWAS) have effectively linked genetic variants to quantitati...
Disruption of the brain endothelial barrier is a hallmark of traumatic brain injury (TBI), and contr...
Despite advances in central nervous system (CNS)-protective anesthetic and surgical strategies, peri...
This study was developed to determine whether a machine learning model could be developed to assess ...
Self-attention mechanisms and token embeddings behind transformers allow the extraction of complex p...
Surgical mortality is the third leading cause of death globally, with mortality rates in Africa doub...
Coronary artery anomalies (CAA) with an intramural course are associated with elevated risks of isch...
Echocardiograms provide essential insights into cardiac health, yet their complex, multidimensional ...
The diagnosis of transthyretin amyloid cardiomyopathy (ATTR-CM) requires advanced imaging, precludin...
Cognitive impairment is common in patients with heart failure, but to which extent cognitive complai...
Arterial blood pressure (ABP) and photoplethysmography (PPG) waveforms both contain vital physiologi...
Iron deficiency frequently coexists with congestive heart failure, thereby increasing morbidity and ...
Hypertrophic cardiomyopathy (HCM) affects 20 million individuals globally, with increased risk of su...
Echocardiography is a cornerstone of cardiovascular care but relies on expert interpretation and man...
Early structural heart disease (SHD) detection is crucial for improving prognostic outcomes, but wid...
Respiratory infections are a leading cause of pediatric emergency visits globally, requiring timely ...
Clinical trial design (CTD) is a time-consuming process that requires substantial domain expertise. ...
Hypertrophic cardiomyopathy (HCM) is frequently underdiagnosed. While deep learning (DL) models usin...