AIMC Topic: Coronary Angiography

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Non-invasive derivation of instantaneous free-wave ratio from invasive coronary angiography using a new deep learning artificial intelligence model and comparison with human operators' performance.

The international journal of cardiovascular imaging Mar 10, 2025
Invasive coronary physiology is underused and carries risks/costs. Artificial Intelligence (AI) might enable non-invasive physiology from invasive coronary angiography (CAG), possibly outperforming humans, but has seldom been explored, especially for...
Coronary Artery Disease Coronary Vessels Clinical Competence Predictive Value of Tests Coronary Angiography Radiographic Image Interpretation, Computer-Assisted Humans Retrospective Studies Female Reproducibility of Results Aged Male Middle Aged Deep Learning
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Artificial intelligence driven plaque characterization and functional assessment from CCTA using OCT-based automation: A prospective study.

International journal of cardiology Mar 9, 2025
BACKGROUND: We aimed to develop and validate an Artificial Intelligence (AI) model that leverages CCTA and optical coherence tomography (OCT) images for automated analysis of plaque characteristics and coronary function.
Automation Coronary Vessels Plaque, Atherosclerotic Computed Tomography Angiography Humans Tomography, Optical Coherence Artificial Intelligence Coronary Angiography Prospective Studies Coronary Artery Disease Female Aged Male Middle Aged
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Artificial intelligence quantification and experienced reader computed tomography analysis for differentiating normal from minimally and mildly diseased coronary arteries: an early real-world compatibility study.

The international journal of cardiovascular imaging Feb 28, 2025
Differentiating normal from minimally and mildly diseased coronary arteries on coronary computed tomographic angiography (CCTA) is crucial, impacting treatment decisions due to the extremely low coronary artery event risk associated with the former. ...
Middle Aged Severity of Illness Index Predictive Value of Tests Coronary Angiography Female Reproducibility of Results Plaque, Atherosclerotic Aged Humans Vascular Calcification Male Artificial Intelligence Asymptomatic Diseases Retrospective Studies Computed Tomography Angiography Radiographic Image Interpretation, Computer-Assisted Coronary Artery Disease Observer Variation Coronary Vessels
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CECRel: A joint entity and relation extraction model for Chinese electronic medical records of coronary angiography via contrastive learning.

Journal of biomedical informatics Feb 24, 2025
Entity and relation extraction from Chinese electronic medical records (EMRs) is a crucial foundation for constructing medical knowledge graphs and supporting downstream tasks. Chinese EMRs face challenges in accurately extracting medical entity rela...
Data Mining Humans Machine Learning Algorithms Electronic Health Records China East Asian People Coronary Angiography
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Intraoperative stenosis detection in X-ray coronary angiography via temporal fusion and attention-based CNN.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Feb 23, 2025
BACKGROUND AND OBJECTIVE: Coronary artery disease (CAD), the leading cause of mortality, is caused by atherosclerotic plaque buildup in the arteries. The gold standard for the diagnosis of CAD is via X-ray coronary angiography (XCA) during percutaneo...
Radiographic Image Interpretation, Computer-Assisted Humans Coronary Stenosis Neural Networks, Computer Coronary Angiography
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Machine learning and computational fluid dynamics derived FFRCT demonstrate comparable diagnostic performance in patients with coronary artery disease; A Systematic Review and Meta-Analysis.

Journal of cardiovascular computed tomography Feb 22, 2025
BACKGROUND: As a new noninvasive diagnostic technique, computed tomography-derived fraction flow reserve (FFRCT) has been used to identify hemodynamically significant coronary artery stenosis. FFRCT can be calculated using computational fluid dynamic...
Models, Cardiovascular Coronary Stenosis Fractional Flow Reserve, Myocardial Humans Machine Learning Reproducibility of Results Coronary Artery Disease Severity of Illness Index Coronary Vessels Predictive Value of Tests Hydrodynamics Coronary Angiography Computed Tomography Angiography Radiographic Image Interpretation, Computer-Assisted
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Automated Coronary Artery Segmentation with 3D PSPNET using Global Processing and Patch Based Methods on CCTA Images.

Cardiovascular engineering and technology Feb 20, 2025
The prevalence of coronary artery disease (CAD) has become the major cause of death across the world in recent years. The accurate segmentation of coronary artery is important in clinical diagnosis and treatment of coronary artery disease (CAD) such ...
Humans Neural Networks, Computer Coronary Angiography Radiographic Image Interpretation, Computer-Assisted Coronary Artery Disease Coronary Vessels Reproducibility of Results Deep Learning Imaging, Three-Dimensional Predictive Value of Tests Plaque, Atherosclerotic Computed Tomography Angiography
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Deep learning based coronary vessels segmentation in X-ray angiography using temporal information.

Medical image analysis Feb 18, 2025
Invasive coronary angiography (ICA) is the gold standard imaging modality during cardiac interventions. Accurate segmentation of coronary vessels in ICA is required for aiding diagnosis and creating treatment plans. Current automated algorithms for v...
Humans Algorithms Deep Learning Imaging, Three-Dimensional Coronary Angiography Radiographic Image Interpretation, Computer-Assisted Coronary Vessels
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Prediction of obstructive coronary artery disease using coronary calcification and epicardial adipose tissue assessments from CT calcium scoring scans.

Journal of cardiovascular computed tomography Feb 4, 2025
BACKGROUND: Low-cost/no-cost non-contrast CT calcium scoring (CTCS) exams can provide direct evidence of coronary atherosclerosis. In this study, using features from CTCS images, we developed a novel machine learning model to predict obstructive coro...
Female Reproducibility of Results Risk Factors Aged Male Middle Aged Risk Assessment Severity of Illness Index Humans Machine Learning Decision Support Techniques Prognosis Epicardial Adipose Tissue Coronary Vessels Adipose Tissue Predictive Value of Tests Vascular Calcification Coronary Angiography Computed Tomography Angiography Coronary Artery Disease Pericardium
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A continuous-action deep reinforcement learning-based agent for coronary artery centerline extraction in coronary CT angiography images.

Medical & biological engineering & computing Jan 31, 2025
The lumen centerline of the coronary artery allows vessel reconstruction used to detect stenoses and plaques. Discrete-action-based centerline extraction methods suffer from artifacts and plaques. This study aimed to develop a continuous-action-based...
Coronary Artery Disease Artifacts Coronary Vessels Computed Tomography Angiography Reinforcement Machine Learning Algorithms Deep Learning Humans Image Processing, Computer-Assisted Coronary Angiography
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