Dysfunctional vascular endothelium as a driver of atherosclerosis: emerging insights into pathogenesis and treatment
Atherosclerosis, the chronic accumulation of cholesterol-rich plaque within arteries, is
associated with a broad spectrum of cardiovascular diseases including myocardial …
associated with a broad spectrum of cardiovascular diseases including myocardial …
Explainable artificial intelligence and cardiac imaging: toward more interpretable models
Artificial intelligence applications have shown success in different medical and health care
domains, and cardiac imaging is no exception. However, some machine learning models …
domains, and cardiac imaging is no exception. However, some machine learning models …
Value creation through artificial intelligence and cardiovascular imaging: a scientific statement from the American Heart Association
Multiple applications for machine learning and artificial intelligence (AI) in cardiovascular
imaging are being proposed and developed. However, the processes involved in …
imaging are being proposed and developed. However, the processes involved in …
Radiogenomics and artificial intelligence approaches applied to cardiac computed tomography angiography and cardiac magnetic resonance for precision medicine …
T Infante, C Cavaliere, B Punzo, V Grimaldi… - Circulation …, 2021 - Am Heart Assoc
The risk of coronary heart disease (CHD) clinical manifestations and patient management is
estimated according to risk scores accounting multifactorial risk factors, thus failing to cover …
estimated according to risk scores accounting multifactorial risk factors, thus failing to cover …
Artificial intelligence in cardiovascular prevention: new ways will open new doors
M Ciccarelli, F Giallauria, A Carrizzo… - Journal of …, 2023 - journals.lww.com
Prevention and effective treatment of cardiovascular disease are progressive issues that
grow in tandem with the average age of the world population. Over recent decades, the …
grow in tandem with the average age of the world population. Over recent decades, the …
[HTML][HTML] Epicardial and pericardial fat analysis on CT images and artificial intelligence: a literature review
F Greco, R Salgado, W Van Hecke… - … Imaging in Medicine …, 2022 - ncbi.nlm.nih.gov
The present review summarizes the available evidence on artificial intelligence (AI)
algorithms aimed to the segmentation of epicardial and pericardial adipose tissues on …
algorithms aimed to the segmentation of epicardial and pericardial adipose tissues on …
Current and future applications of artificial intelligence in coronary artery disease
Cardiovascular diseases (CVDs) carry significant morbidity and mortality and are associated
with substantial economic burden on healthcare systems around the world. Coronary artery …
with substantial economic burden on healthcare systems around the world. Coronary artery …
Advances in diagnosis, therapy, and prognosis of coronary artery disease powered by deep learning algorithms
Percutaneous coronary intervention has been a standard treatment strategy for patients with
coronary artery disease with continuous ebullient progress in technology and techniques …
coronary artery disease with continuous ebullient progress in technology and techniques …
AI-derived epicardial fat measurements improve cardiovascular risk prediction from myocardial perfusion imaging
Epicardial adipose tissue (EAT) volume and attenuation are associated with cardiovascular
risk, but manual annotation is time-consuming. We evaluated whether automated deep …
risk, but manual annotation is time-consuming. We evaluated whether automated deep …
A review of evaluation approaches for explainable AI with applications in cardiology
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 …
models and is important in building trust in model predictions. XAI explanations themselves …