[HTML][HTML] A cardiologist's guide to machine learning in cardiovascular disease prognosis prediction
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 …
surpassing the capabilities of the human mind. Until the last decade, advances in data …
[PDF][PDF] The Role of Artificial Intelligence in Healthcare: Enhancing Coronary Computed Tomography Angiography for Coronary Artery Disease Management
DT Reddy, I Grewal, LFG Pinzon, B Latchireddy… - Cureus, 2024 - cureus.com
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 …
angiography (CCTA), a key tool for diagnosing coronary artery disease (CAD). Because …
[HTML][HTML] Development of AI-Based Prediction of Heart Attack Risk as an Element of Preventive Medicine
I Rojek, P Kotlarz, M Kozielski, M Jagodziński… - Electronics, 2024 - mdpi.com
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 …
preventive medicine based on non-invasive medical imaging with the support of artificial …
[HTML][HTML] Optimizing ensemble U-Net architectures for robust coronary vessel segmentation in angiographic images
Automated coronary angiography assessment requires precise vessel segmentation, a task
complicated by uneven contrast filling and background noise. Our research introduces an …
complicated by uneven contrast filling and background noise. Our research introduces an …
Explainable machine learning using echocardiography to improve risk prediction in patients with chronic coronary syndrome
MA Molenaar, BJ Bouma, FW Asselbergs… - … Heart Journal-Digital …, 2024 - academic.oup.com
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 …
with limited clinical parameters such as left ventricular (LV) function in patients with chronic …
G2ViT: Graph Neural Network-Guided Vision Transformer Enhanced Network for retinal vessel and coronary angiograph segmentation
H Xu, Y Wu - Neural Networks, 2024 - Elsevier
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 …
vessels for the clinical diagnosis of fundus and coronary artery disease. However, traditional …
[HTML][HTML] Digital Solutions in Cardiology
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 …
To make an effort to contribute to the reduction of morbidity and mortality the guest associate …
An Update on the Use of Artificial Intelligence in Cardiovascular Medicine
Artificial intelligence, specifically advanced language models such as ChatGPT, have the
potential to revolutionize various aspects of healthcare, medical education, and research. In …
potential to revolutionize various aspects of healthcare, medical education, and research. In …
Artificial intelligence-assisted measurements of coronary computed tomography angiography parameters such as stenosis, flow reserve, and fat attenuation for …
C Luo, L Mo, Z Zeng, M Jiang, BT Chen - Biomolecules and Biomedicine, 2024 - bjbms.org
Advancements in artificial intelligence (AI) offer promising tools for improving diagnostic
accuracy and patient outcomes in cardiovascular medicine. This study explores the potential …
accuracy and patient outcomes in cardiovascular medicine. This study explores the potential …
[PDF][PDF] 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研究
吕萍, 王慧敏, 黎叶飞, 曹牡华… - Progress in Modern …, 2023 - biomed.cnjournals.com
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 …
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 …