… This review covers state-of-the-art artificial intelligence applications across various noninvasive
imaging modalities for the quantification of cardiovascular risk in coronary artery disease…

… Artificial intelligence is an exciting field that has the potential to … artificial intelligence by
leveraging our current knowledge of nonalcoholic fatty liver disease to diagnose and risk stratify …

… Conclusions: When compared with published results of ultrasound thyroid cancer risk
stratification systems, our image similarity model had comparable NPV with better sensitivity, …

… Artificial Intelligence (AI) has already shown promise for CVD/stroke risk stratification. … AI
investigations to establish the CVD/Stroke risk stratification in the PD framework. The study has …

… This narrative review delves into the potential of artificial intelligence (AI) in predicting,
stratifying risk, and personalizing treatment planning for congenital heart disease (CHD). CHD is a …

… As data-driven science, artificial intelligence (AI) has paved a promising path toward an …
-the-art AI techniques to the refined risk stratification and whole-course management of patients …

… The risk stratification model used in this study was developed using relatively recent data
on Asian ACS patients, and it can better predict ACS patient mortality in modern practice. …

… artificial intelligence-based electrocardiogram analysis tool (ECG-AI) to detect CAD and
assessed the additive value of ECG-AI-based ASCVD risk stratification … ASCVD risk stratification …

… one of the numerous risk stratification systems for … artificial intelligence (AI)–optimized
Thyroid Imaging Reporting and Data System (TI-RADS) is a data-driven model for risk stratification …

… Notwithstanding, strain assessment has proven incremental value for cardiovascular risk
stratification. Since introduction of deformation imaging to clinical practice has been …