AIMC Topic: Computed Tomography Angiography

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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...
Coronary Vessels Multidetector Computed Tomography Vascular Calcification Computed Tomography Angiography Humans Cardiac-Gated Imaging Techniques Radiographic Image Interpretation, Computer-Assisted Aged Artificial Intelligence Coronary Artery Disease Male Retrospective Studies Electrocardiography Workflow Middle Aged Female Predictive Value of Tests Observer Variation Severity of Illness Index Reproducibility of Results Coronary Angiography Time Factors Radiologists
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Individual risk assessment for rupture of abdominal aortic aneurysm using artificial intelligence.

Journal of vascular surgery Dec 13, 2024
OBJECTIVE: This study aimed to develop a prediction tool to identify abdominal aortic aneurysms (AAAs) at increased risk of rupture incorporating demographic, clinical, imaging, and medication data using artificial intelligence (AI).
Risk Factors Aged Aged, 80 and over Male Middle Aged Prognosis Retrospective Studies Predictive Value of Tests Female Aortic Aneurysm, Abdominal Reproducibility of Results Risk Assessment Computed Tomography Angiography Case-Control Studies Aortography Humans Decision Trees Aortic Rupture Denmark Artificial Intelligence Decision Support Techniques
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Deep learning-assistance significantly increases the detection sensitivity of neurosurgery residents for intracranial aneurysms in subarachnoid hemorrhage.

Journal of clinical neuroscience : official journal of the Neurosurgical Society of Australasia Dec 13, 2024
OBJECTIVE: The purpose of this study was to evaluate the effectiveness of a deep learning model (DLM) in improving the sensitivity of neurosurgery residents to detect intracranial aneurysms on CT angiography (CTA) in patients with aneurysmal subarach...
Humans Female Aged Adult Subarachnoid Hemorrhage Sensitivity and Specificity Neurosurgery Male Computed Tomography Angiography Middle Aged Internship and Residency Deep Learning Intracranial Aneurysm
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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...
Female Aged Radiomics Male Middle Aged Humans Machine Learning Retrospective Studies Coronary Artery Disease Coronary Vessels Plaque, Atherosclerotic Computed Tomography Angiography Inflammation Nomograms Adipose Tissue Coronary Angiography
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Assessment of the stability of intracranial aneurysms using a deep learning model based on computed tomography angiography.

La Radiologia medica Dec 12, 2024
PURPOSE: Assessment of the stability of intracranial aneurysms is important in the clinic but remains challenging. The aim of this study was to construct a deep learning model (DLM) to identify unstable aneurysms on computed tomography angiography (C...
Intracranial Aneurysm Female Aged Adult Sensitivity and Specificity Male Middle Aged Deep Learning Computed Tomography Angiography Aneurysm, Ruptured Humans Neural Networks, Computer Retrospective Studies
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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)...
Fractional Flow Reserve, Myocardial Coronary Angiography Coronary Vessels Computed Tomography Angiography Coronary Stenosis Humans Artificial Intelligence Retrospective Studies Female Aged Male Middle Aged Severity of Illness Index Predictive Value of Tests
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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 ...
Humans Risk Assessment Aged Observational Studies as Topic Coronary Artery Disease Artificial Intelligence Coronary Angiography Adult Singapore Prospective Studies Male Computed Tomography Angiography Retrospective Studies Middle Aged Female
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Deep Learning Based Detection of Large Vessel Occlusions in Acute Ischemic Stroke Using High-Resolution Photon Counting Computed Tomography and Conventional Multidetector Computed Tomography.

Clinical neuroradiology Nov 25, 2024
PURPOSE: Deep learning (DL) methods for detecting large vessel occlusion (LVO) in acute ischemic stroke (AIS) show promise, but the effect of computed tomography angiography (CTA) image quality on DL performance is unclear. Our study investigates the...
Ischemic Stroke Radiographic Image Interpretation, Computer-Assisted Multidetector Computed Tomography Computed Tomography Angiography Sensitivity and Specificity Humans Male Cerebral Angiography Female Middle Aged Aged Deep Learning Aged, 80 and over
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CIS-UNet: Multi-class segmentation of the aorta in computed tomography angiography via context-aware shifted window self-attention.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Nov 19, 2024
Advancements in medical imaging and endovascular grafting have facilitated minimally invasive treatments for aortic diseases. Accurate 3D segmentation of the aorta and its branches is crucial for interventions, as inaccurate segmentation can lead to ...
Aorta Computed Tomography Angiography Aortic Diseases Humans Neural Networks, Computer Deep Learning Imaging, Three-Dimensional
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Exploratory analysis of Type B Aortic Dissection (TBAD) segmentation in 2D CTA images using various kernels.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Nov 18, 2024
Type-B Aortic Dissection is a rare but fatal cardiovascular disease characterized by a tear in the inner layer of the aorta, affecting 3.5 per 100,000 individuals annually. In this work, we explore the feasibility of leveraging two-dimensional Convol...
Neural Networks, Computer Radiographic Image Interpretation, Computer-Assisted Aortic Dissection Computed Tomography Angiography Humans
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