AI-assisted screening and prevention programs have the potential to revolutionize disease
management and improve public health outcomes. By harnessing the power of artificial …

Atherosclerotic cardiovascular disease (ASCVD) is the most common cause of death
globally. Increasing amounts of highly diverse ASCVD data are becoming available and …

The crucial pathophysiological and prognostic roles of the right ventricle in various diseases
have been well-established. Nonetheless, conventional cardiovascular imaging modalities …

Artificial intelligence (AI) has emerged as a crucial technique for extracting high‑throughput
information from various sources, including medical images, pathological images, and …

Purpose Recent guidelines provide broader support for the use of less invasive imaging
modalities for the evaluation of patients with stable chest pain. Coronary CT angiography …

Objective This study aims to review the application of deep learning techniques in the
imaging diagnosis and treatment of aortic aneurysm (AA), focusing on screening, diagnosis …

Coronary artery disease is a leading cause of death worldwide. Major adverse cardiac
events are associated not only with coronary luminal stenosis but also with atherosclerotic …

The article provides a comprehensive narrative review of the role of artificial intelligence (AI)
in the future of medicine, focusing on its potential to replace physicians in various clinical …

1. SUMMARY Author: Alexander Palacios Title: The Role of Artificial Intelligence in Cardiac
CT AIM: To determine technical methods and investigation of artificial intelligence in heart …

Abstract Introduction: Artificial Intelligence (AI) application in healthcare fields include
matching patient symptoms to appropriate physician, helped to diagnose patients, determine …