AIMC Topic: Computed Tomography Angiography

Clear Filters Showing 31 to 40 of 450 articles

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. ...
Reproducibility of Results Aged Male Middle Aged Severity of Illness Index Coronary Vessels Humans Plaque, Atherosclerotic Artificial Intelligence Vascular Calcification Retrospective Studies Asymptomatic Diseases Female Computed Tomography Angiography Predictive Value of Tests Coronary Angiography Radiographic Image Interpretation, Computer-Assisted Coronary Artery Disease Observer Variation
View on PubMed DOI

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...
Hydrodynamics Predictive Value of Tests Humans Computed Tomography Angiography Coronary Angiography Models, Cardiovascular Machine Learning Radiographic Image Interpretation, Computer-Assisted Coronary Stenosis Reproducibility of Results Coronary Artery Disease Fractional Flow Reserve, Myocardial Severity of Illness Index Coronary Vessels
View on PubMed DOI

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 Reproducibility of Results Radiographic Image Interpretation, Computer-Assisted Coronary Artery Disease Coronary Vessels Plaque, Atherosclerotic Computed Tomography Angiography Deep Learning Imaging, Three-Dimensional Predictive Value of Tests Coronary Angiography
View on PubMed DOI

Deep learning on pre-procedural computed tomography and clinical data predicts outcome following stroke thrombectomy.

Journal of neurointerventional surgery Feb 14, 2025
BACKGROUND: Deep learning using clinical and imaging data may improve pre-treatment prognostication in ischemic stroke patients undergoing endovascular thrombectomy (EVT).
Aged, 80 and over Male Middle Aged Deep Learning Cohort Studies Retrospective Studies Tomography, X-Ray Computed Female Aged Thrombectomy Computed Tomography Angiography Treatment Outcome Predictive Value of Tests Ischemic Stroke Stroke Endovascular Procedures Humans Prognosis
View on PubMed DOI

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...
Coronary Angiography Coronary Artery Disease Coronary Vessels Vascular Calcification Computed Tomography Angiography Pericardium Epicardial Adipose Tissue Middle Aged Risk Assessment Severity of Illness Index Adipose Tissue Predictive Value of Tests Reproducibility of Results Risk Factors Aged Male Humans Machine Learning Decision Support Techniques Prognosis Female
View on PubMed DOI

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...
Humans Algorithms Deep Learning Image Processing, Computer-Assisted Coronary Angiography Coronary Artery Disease Artifacts Coronary Vessels Computed Tomography Angiography Reinforcement Machine Learning
View on PubMed DOI

Segmentation of coronary artery and calcification using prior knowledge based deep learning framework.

Medical physics Jan 29, 2025
BACKGROUND: Computed tomography angiography (CTA) is used to screen for coronary artery calcification. As the coronary artery has complicated structure and tiny lumen, manual screening is a time-consuming task. Recently, many deep learning methods ha...
Coronary Artery Disease Humans Coronary Vessels Deep Learning Vascular Calcification Image Processing, Computer-Assisted Computed Tomography Angiography Calcinosis
View on PubMed DOI

Evaluating a clinically available artificial intelligence model for intracranial aneurysm detection: a multi-reader study and algorithmic audit.

Neuroradiology Jan 15, 2025
PURPOSE: We aimed to validate a clinically available artificial intelligence (AI) model to assist general radiologists in the detection of intracranial aneurysm (IA) in a multi-reader multi-case (MRMC) study, and to explore its performance in routine...
Artificial Intelligence Humans Radiographic Image Interpretation, Computer-Assisted Algorithms Computed Tomography Angiography Female Adult Cerebral Angiography Aged Sensitivity and Specificity Intracranial Aneurysm Male Middle Aged Cohort Studies
View on PubMed DOI

Diagnostic accuracy in coronary CT angiography analysis: artificial intelligence versus human assessment.

Open heart Jan 11, 2025
BACKGROUND: Visual assessment of coronary CT angiography (CCTA) is time-consuming, influenced by reader experience and prone to interobserver variability. This study evaluated a novel algorithm for coronary stenosis quantification (atherosclerosis im...
Humans Artificial Intelligence Algorithms Coronary Vessels Retrospective Studies Computed Tomography Angiography Predictive Value of Tests Female Coronary Stenosis Reproducibility of Results Coronary Angiography Radiographic Image Interpretation, Computer-Assisted Aged Coronary Artery Disease Male Observer Variation Middle Aged Severity of Illness Index
View on PubMed DOI

End-to-end deep-learning model for the detection of coronary artery stenosis on coronary CT images.

Open heart Jan 11, 2025
PURPOSE: We examined whether end-to-end deep-learning models could detect moderate (≥50%) or severe (≥70%) stenosis in the left anterior descending artery (LAD), right coronary artery (RCA) or left circumflex artery (LCX) in iodine contrast-enhanced ...
Middle Aged Severity of Illness Index Deep Learning Predictive Value of Tests Retrospective Studies Coronary Angiography Radiographic Image Interpretation, Computer-Assisted Female Coronary Vessels Reproducibility of Results Humans Computed Tomography Angiography Aged Coronary Stenosis Male
View on PubMed DOI
Popular Topics
Recent Journals