AIMC Topic: Coronary Artery Disease
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Assessing the diagnostic accuracy and prognostic utility of artificial intelligence detection and grading of coronary artery calcification on nongated computed tomography (CT) thorax.
Clinical radiology
Jun 1, 2025
AIMS: This study assessed the diagnostic accuracy and prognostic implications of an artificial intelligence (AI) tool for coronary artery calcification (CAC) assessment on nongated, noncontrast thoracic computed tomography (CT).
Coronary artery disease severity and location detection using deep-mining-based magnetocardiography pattern features.
Computer methods and programs in biomedicine
Jun 1, 2025
BACKGROUND AND OBJECTIVE: The objective of this study was to develop an automated, accurate method of assessing coronary artery disease (CAD), including its severity and location, using deep-mining-based magnetocardiography (MCG) pattern features.
Portable ECG and PCG wireless acquisition system and multiscale CNN feature fusion Bi-LSTM network for coronary artery disease diagnosis.
Computers in biology and medicine
Jun 1, 2025
Coronary artery disease (CAD) is a major cause of mortality, especially among aging populations, making timely and accurate diagnosis essential. In this work, a portable wireless device powered by artificial intelligence for CAD detection is proposed...
Elucidating the role of KLRD1 in coronary atherosclerosis: harnessing bioinformatics and machine learning to advance understanding.
Journal of cardiothoracic surgery
May 30, 2025
BACKGROUND: Atherosclerosis (AS) is increasingly recognized as a chronic inflammatory disease that significantly compromises vascular health and serves as a major contributor to cardiovascular diseases. KLRD1 is a gene that encodes a protein involved...
CCTA-Derived coronary plaque burden offers enhanced prognostic value over CAC scoring in suspected CAD patients.
European heart journal. Cardiovascular Imaging
May 30, 2025
AIMS: To assess the prognostic utility of coronary artery calcium (CAC) scoring and coronary computed tomography angiography (CCTA)-derived quantitative plaque metrics for predicting adverse cardiovascular outcomes.
Middle Aged
Risk Assessment
Severity of Illness Index
Predictive Value of Tests
Female
Humans
Aged
Prognosis
Male
Retrospective Studies
Proportional Hazards Models
Coronary Angiography
Plaque, Atherosclerotic
Cause of Death
Vascular Calcification
Coronary Artery Disease
Computed Tomography Angiography
[Artificial intelligence-based automated assessment of coronary flow reserve from angiography and the impact of different vasodilators].
Zhonghua xin xue guan bing za zhi
May 24, 2025
To explore the feasibility of a coronary angiography-based method developed with artificial intelligence which was able to automatically and quickly calculate coronary volumetric blood flow and coronary flow reserve (CFR), and explore the difference...
[Artificial intelligence empowering precision interventional therapy: the rise of computational coronary physiology].
Zhonghua xin xue guan bing za zhi
May 24, 2025
Diagnostic value of small dense low-density lipoprotein and trace elements in coronary artery disease.
Annales de biologie clinique
May 22, 2025
Coronary artery disease (CAD) is a worldwide leading cause of death. Considering that 20%-40% of patients with CAD have a long asymptomatic period of atherosclerosis, it has become urgent to explore the feasibility of diagnosing CAD at an early stage...
Coronary Computed Tomographic Angiography to Optimize the Diagnostic Yield of Invasive Angiography for Low-Risk Patients Screened With Artificial Intelligence: Protocol for the CarDIA-AI Randomized Controlled Trial.
JMIR research protocols
May 21, 2025
BACKGROUND: Invasive coronary angiography (ICA) is the gold standard in the diagnosis of coronary artery disease (CAD). Being invasive, it carries rare but serious risks including myocardial infarction, stroke, major bleeding, and death. A large prop...
Identification of hub biomarkers in coronary artery disease patients using machine learning and bioinformatic analyses.
Scientific reports
May 18, 2025
Understanding the molecular underpinnings of CAD is essential for developing effective therapeutic strategies. This study aims to identify and analyze differentially expressed hub biomarkers in the peripheral blood of CAD patients. Based on RNA-seq d...
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