A modern-day physician is faced with a vast abundance of clinical and scientific data, by far
surpassing the capabilities of the human mind. Until the last decade, advances in data …

This review aims to explore the potential of artificial intelligence (AI) in coronary CT
angiography (CCTA), a key tool for diagnosing coronary artery disease (CAD). Because …

The future paradigm of early cardiac diagnostics is shifting the focus towards heart attack
preventive medicine based on non-invasive medical imaging with the support of artificial …

Automated coronary angiography assessment requires precise vessel segmentation, a task
complicated by uneven contrast filling and background noise. Our research introduces an …

Abstract Aims The European Society of Cardiology guidelines recommend risk stratification
with limited clinical parameters such as left ventricular (LV) function in patients with chronic …

Blood vessel segmentation is a crucial stage in extracting morphological characteristics of
vessels for the clinical diagnosis of fundus and coronary artery disease. However, traditional …

Cardiovascular disease is the most common cause of morbidity and mortality worldwide (1).
To make an effort to contribute to the reduction of morbidity and mortality the guest associate …

Artificial intelligence, specifically advanced language models such as ChatGPT, have the
potential to revolutionize various aspects of healthcare, medical education, and research. In …

Advancements in artificial intelligence (AI) offer promising tools for improving diagnostic
accuracy and patient outcomes in cardiovascular medicine. This study explores the potential …

摘要目的: 分析糖化清蛋白, 高敏C 反应蛋白与冠心病临界病变患者冠脉斑块形态学特征的关系
及对功能性心肌缺血的预测价值. 方法: 选择自2020 年1 月至2022 年6 月我院经冠脉造影确诊 …