Artificial intelligence applications have shown success in different medical and health care
domains, and cardiac imaging is no exception. However, some machine learning models …

Explainable artificial intelligence (XAI) elucidates the decision-making process of complex AI
models and is important in building trust in model predictions. XAI explanations themselves …

Abstract Purpose To review eXplainable Artificial Intelligence/(XAI) methods available for
medical imaging/(MI). Method A scoping review was conducted following the Joanna Briggs …

Heart failure (HF) with preserved ejection fraction (HFpEF) is a multi-organ, systemic
syndrome that involves multiple cardiac and extracardiac pathophysiologic abnormalities …

Patients with heart failure (HF) have high morbidity and mortality. Accurate assessment of
right ventricular (RV) function has important prognostic significance in patients with HF …

Artificial Intelligence is extensively applied in heartcare to analyze patient data, detect
anomalies, and provide personalized treatment recommendations, ultimately improving …

Featured Application Four-dimensional cardiac straightened segmentation can be useful for
the periprocedural evaluation of TPVR. Abstract Cardiac computed tomography …

Kucukseymen S et al. Noncontrast Cardiac Magnetic Resonance Imaging Predictors of
Heart Failure Hospitalization in Heart Failure With Preserved Ejection Fraction. J Magn …