AIMC Topic: Coronary Angiography

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Noninvasive machine-learning models for the detection of lesion-specific ischemia in patients with stable angina with intermediate stenosis severity on coronary CT angiography.

Physical and engineering sciences in medicine Dec 30, 2024
This study proposed noninvasive machine-learning models for the detection of lesion-specific ischemia (LSI) in patients with stable angina with intermediate stenosis severity based on coronary computed tomography (CT) angiography. This single-center ...
Myocardial Ischemia Angina, Stable Computed Tomography Angiography Coronary Stenosis Fractional Flow Reserve, Myocardial Aged Male Middle Aged Severity of Illness Index Coronary Angiography Humans Machine Learning Retrospective Studies Female
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AI-derived automated quantification of cardiac chambers and myocardium from non-contrast CT: Prediction of major adverse cardiovascular events in asymptomatic subjects.

Atherosclerosis Dec 22, 2024
BACKGROUND AND AIMS: The significance of left ventricular mass and chamber volumes from non-contrast computed tomography (CT) for predicting major adverse cardiovascular events (MACE) has not been studied. Our objective was to evaluate the role of ar...
Radiographic Image Interpretation, Computer-Assisted Humans Risk Assessment Tomography, X-Ray Computed Coronary Artery Disease Deep Learning Female Heart Ventricles Artificial Intelligence Predictive Value of Tests Vascular Calcification Aged Prognosis Coronary Angiography Asymptomatic Diseases Male Middle Aged
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Artificial intelligence-derived coronary artery calcium scoring saves time and achieves close to radiologist-level accuracy accuracy on routine ECG-gated CT.

The international journal of cardiovascular imaging Dec 16, 2024
Artificial Intelligence (AI) has been proposed to improve workflow for coronary artery calcium scoring (CACS), but simultaneous demonstration of improved efficiency, accuracy, and clinical stability have not been demonstrated. 148 sequential patients...
Humans Artificial Intelligence Retrospective Studies Female Radiologists Reproducibility of Results Severity of Illness Index Coronary Vessels Radiographic Image Interpretation, Computer-Assisted Aged Time Factors Multidetector Computed Tomography Coronary Artery Disease Electrocardiography Male Vascular Calcification Workflow Predictive Value of Tests Middle Aged Computed Tomography Angiography Observer Variation Coronary Angiography Cardiac-Gated Imaging Techniques
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Machine learning-based radiomic features of perivascular adipose tissue in coronary computed tomography angiography predicting inflammation status around atherosclerotic plaque: a retrospective cohort study.

Annals of medicine Dec 12, 2024
OBJECTIVES: This study expolored the relationship between perivascular adipose tissue (PVAT) radiomic features derived from coronary computed tomography angiography (CCTA) and the presence of coronary artery plaques. It aimed to determine whether PVA...
Inflammation Nomograms Adipose Tissue Coronary Angiography Coronary Artery Disease Aged Radiomics Male Middle Aged Coronary Vessels Plaque, Atherosclerotic Computed Tomography Angiography Humans Machine Learning Retrospective Studies Female
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Artificial Intelligence-Driven Assessment of Coronary Computed Tomography Angiography for Intermediate Stenosis: Comparison With Quantitative Coronary Angiography and Fractional Flow Reserve.

The American journal of cardiology Dec 11, 2024
We aimed to compare artificial intelligence (AI)-based coronary stenosis evaluation of coronary computed tomography angiography (CCTA) with its quantitative counterpart of invasive coronary angiography (ICA) and invasive fractional flow reserve (FFR)...
Coronary Angiography Coronary Vessels Computed Tomography Angiography Coronary Stenosis Fractional Flow Reserve, Myocardial Aged Male Middle Aged Severity of Illness Index Humans Predictive Value of Tests Artificial Intelligence Retrospective Studies Female
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AI-CADR: Artificial Intelligence Based Risk Stratification of Coronary Artery Disease Using Novel Non-Invasive Biomarkers.

IEEE journal of biomedical and health informatics Dec 5, 2024
Coronary artery disease (CAD) is one of the most common causes of sudden cardiac arrest, accounting for a large percentage of global mortality. A timely diagnosis and detection may save a person's life. The research suggests a methodological framewor...
Aged Male Middle Aged Risk Assessment Diagnosis, Computer-Assisted Artificial Intelligence Machine Learning Biomarkers Female Coronary Angiography Humans Coronary Artery Disease
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Diagnostic Performance of Artificial Intelligence-Based Angiography-Derived Non-Hyperemic Pressure Ratio Using Pressure Wire as Reference.

Circulation journal : official journal of the Japanese Circulation Society Dec 4, 2024
BACKGROUND: The angiography-derived non-hyperemic pressure ratio (angioNHPR) is a novel index of NHPR based on artificial intelligence (AI) that does not require pressure wires. We investigated the diagnostic accuracy of angioNHPR for detecting hemod...
Retrospective Studies Female Aged Male Middle Aged Humans Artificial Intelligence Coronary Angiography Coronary Artery Disease
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Cohort profile: AI-driven national Platform for CCTA for clinicaL and industriaL applicatiOns (APOLLO).

BMJ open Dec 2, 2024
PURPOSE: Coronary CT angiography (CCTA) is well established for the diagnostic evaluation and prognostication of coronary artery disease (CAD). The growing burden of CAD in Asia and the emergence of novel CT-based risk markers highlight the need for ...
Male Middle Aged Prospective Studies Risk Assessment Coronary Angiography Observational Studies as Topic Retrospective Studies Singapore Female Coronary Artery Disease Aged Computed Tomography Angiography Adult Humans Artificial Intelligence
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Constraint-Aware Learning for Fractional Flow Reserve Pullback Curve Estimation From Invasive Coronary Imaging.

IEEE transactions on medical imaging Dec 2, 2024
Estimation of the fractional flow reserve (FFR) pullback curve from invasive coronary imaging is important for the intraoperative guidance of coronary intervention. Machine/deep learning has been proven effective in FFR pullback curve estimation. How...
Male Deep Learning Coronary Angiography Coronary Vessels Fractional Flow Reserve, Myocardial Humans Machine Learning Algorithms
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Assessing the need for coronary angiography in high-risk non-ST-elevation acute coronary syndrome patients using artificial intelligence and computed tomography.

The international journal of cardiovascular imaging Nov 8, 2024
PURPOSE: This study aimed to evaluate the efficacy of the Chat Generative Pre-trained Transformer (ChatGPT) in guiding the need for invasive coronary angiography (ICA) in high-risk non-ST-elevation (NSTE) acute coronary syndrome (ACS) patients based ...
Computed Tomography Angiography Male Middle Aged Risk Assessment Clinical Decision-Making Humans Predictive Value of Tests Non-ST Elevated Myocardial Infarction Female Artificial Intelligence Double-Blind Method Reproducibility of Results Decision Support Techniques Coronary Angiography Risk Factors Prospective Studies Aged Radiographic Image Interpretation, Computer-Assisted Acute Coronary Syndrome
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