The Analysis of Job Satisfaction of Health Practitioners in Saudi Arabia: Determinants and Strategic Recommendations for Health Workforce Planning.

Background: Job satisfaction plays an important foundation in the health system to deliver high-quality care services to patients. Job satisfaction describes the inside feeling of workers about their jobs whether they like it or not. Job satisfaction of health practitioners is considered an essential factor that affects their efficiency, well-being, and mental health.

Radiomics and deep learning for myocardial scar screening in hypertrophic cardiomyopathy.

Background: Myocardial scar burden quantified using late gadolinium enhancement (LGE) cardiovascular magnetic resonance (CMR), has important prognostic value in hypertrophic cardiomyopathy (HCM). However, nearly 50% of HCM patients have no scar but undergo repeated gadolinium-based CMR over their life span. We sought to develop an artificial intelligence (AI)-based screening model using radiomics and deep learning (DL) features extracted from balanced steady state free precession (bSSFP) cine sequences to identify HCM patients without scar.

Genetics of Anthracycline-Associated Cardiotoxicity.

Anthracyclines are a major component of chemotherapies used in many pediatric and adult malignancies. Anthracycline-associated cardiotoxicity (ACT) is a dose-dependent adverse effect that has substantial impact on morbidity and mortality. Therefore, the identification of genetic variants associated with increased risk of ACT has the potential for significant clinical impact to improve patient care.

An Explainable Machine Learning Approach Reveals Prognostic Significance of Right Ventricular Dysfunction in Nonischemic Cardiomyopathy.

Objectives: The authors implemented an explainable machine learning (ML) model to gain insight into the association between cardiac magnetic resonance markers and adverse outcomes of cardiovascular hospitalization and all-cause death (composite endpoint) in patients with nonischemic dilated cardiomyopathy (NICM).

Background: Risk stratification of patients with NICM remains challenging. An explainable ML model has the potential to provide insight into the contributions of different risk markers in the prediction model.

Enhancement of the dissolution and activity of a new antineoplastic agent.

The cell-surface molecule CD44 plays a major role in the regulation of cancer stem cells. The CD44 inhibitor compound '-(1-dimethylaminomethyl-2-oxoindolin-3-ylidene)-2-(benzyloxy)benzohydrazide (OYB), anticancer agent is practically insoluble in water. Hence, the solid dispersion (SD) technique was used for enhancing the dissolution of OYB.

Noncontrast Cardiac Magnetic Resonance Imaging Predictors of Heart Failure Hospitalization in Heart Failure With Preserved Ejection Fraction.

Background: Heart failure patients with preserved ejection fraction (HFpEF) are at increased risk of future hospitalization. Contrast agents are often contra-indicated in HFpEF patients due to the high prevalence of concomitant kidney disease. Therefore, the prognostic value of a noncontrast cardiac magnetic resonance imaging (MRI) for HF-hospitalization is important.

Association Between Left Ventricular Mechanical Deformation and Myocardial Fibrosis in Nonischemic Cardiomyopathy.

Background In patients with nonischemic cardiomyopathy, nonischemic fibrosis detected by late gadolinium enhancement (LGE) cardiovascular magnetic resonance is related to adverse cardiovascular outcomes. However, its relationship with left ventricular (LV) mechanical deformation parameters remains unclear. We sought to investigate the association between LV mechanics and the presence, location, and extent of fibrosis in patients with nonischemic cardiomyopathy.