AIMC Topic: Vascular Calcification
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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).
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.
Female
Aged
Male
Middle Aged
Risk Assessment
Humans
Prognosis
Retrospective Studies
Coronary Artery Disease
Proportional Hazards Models
Plaque, Atherosclerotic
Vascular Calcification
Severity of Illness Index
Computed Tomography Angiography
Predictive Value of Tests
Coronary Angiography
Cause of Death
Balancing accuracy and cost in machine learning models for detecting medial vascular calcification in chronic kidney disease: a pilot study.
Scientific reports
May 20, 2025
Machine learning algorithms that integrate multiple biomarkers are increasingly used in disease detection, yet economic considerations are often overlooked. Medial vascular calcification (mVC), a pathology associated with elevated cardiovascular risk...
Detection of carotid artery calcifications using artificial intelligence in dental radiographs: a systematic review and meta-analysis.
BMC medical imaging
May 19, 2025
BACKGROUND: Carotid artery calcifications are important markers of cardiovascular health, often associated with atherosclerosis and a higher risk of stroke. Recent research shows that dental radiographs can help identify these calcifications, allowin...
Breast Arterial Calcifications on Mammography: A Review of the Literature.
Journal of breast imaging
May 17, 2025
Identifying systemic disease with medical imaging studies may improve population health outcomes. Although the pathogenesis of peripheral arterial calcification and coronary artery calcification differ, breast arterial calcification (BAC) on mammogra...
Fully Automated Agatston Score Calculation From Electrocardiography-Gated Cardiac Computed Tomography Using Deep Learning and Multi-Organ Segmentation: A Validation Study.
Angiology
May 1, 2025
To evaluate deep learning-based calcium segmentation and quantification on ECG-gated cardiac CT scans compared with manual evaluation. Automated calcium quantification was performed using a neural network based on mask regions with convolutional neur...
Deep Learning
Electrocardiography
Predictive Value of Tests
Coronary Angiography
Female
Radiographic Image Interpretation, Computer-Assisted
Reproducibility of Results
Coronary Artery Disease
Aged
Vascular Calcification
Male
Computed Tomography Angiography
Middle Aged
Cardiac-Gated Imaging Techniques
Humans
Neural Networks, Computer
Retrospective Studies
Tomography, X-Ray Computed
Artificial Intelligence-based Software for Breast Arterial Calcification Detection on Mammograms.
Journal of breast imaging
Mar 18, 2025
OBJECTIVE: The performance of a commercially available artificial intelligence (AI)-based software that detects breast arterial calcifications (BACs) on mammograms is presented.
Automated proximal coronary artery calcium identification using artificial intelligence: advancing cardiovascular risk assessment.
European heart journal. Cardiovascular Imaging
Mar 3, 2025
AIMS: Identification of proximal coronary artery calcium (CAC) may improve prediction of major adverse cardiac events (MACE) beyond the CAC score, particularly in patients with low CAC burden. We investigated whether the proximal CAC can be detected ...
Automated vessel-specific coronary artery calcification quantification with deep learning in a large multi-centre registry.
European heart journal. Cardiovascular Imaging
Jun 28, 2024
AIMS: Vessel-specific coronary artery calcification (CAC) is additive to global CAC for prognostic assessment. We assessed accuracy and prognostic implications of vessel-specific automated deep learning (DL) CAC analysis on electrocardiogram (ECG) ga...
Accuracy of a deep learning-based algorithm for the detection of thoracic aortic calcifications in chest computed tomography and cardiovascular surgery planning.
European journal of cardio-thoracic surgery : official journal of the European Association for Cardio-thoracic Surgery
Jun 3, 2024
OBJECTIVES: To assess the accuracy of a deep learning-based algorithm for fully automated detection of thoracic aortic calcifications in chest computed tomography (CT) with a focus on the aortic clamping zone.
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