AIMC Topic: Vascular Calcification

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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.
Predictive Value of Tests Radiographic Image Interpretation, Computer-Assisted Breast Vascular Calcification Breast Diseases Breast Neoplasms Middle Aged Calcinosis Mammography Humans Artificial Intelligence Software Retrospective Studies Female Aged Adult Sensitivity and Specificity
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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 ...
Prognosis Retrospective Studies Tomography, X-Ray Computed Female Aged Humans Artificial Intelligence Algorithms Computed Tomography Angiography ROC Curve Follow-Up Studies Coronary Angiography Coronary Artery Disease Vascular Calcification Male Middle Aged Risk Assessment Severity of Illness Index
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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...
Humans Prognosis Female Computed Tomography Angiography Aged Male Middle Aged Risk Assessment Deep Learning Coronary Angiography Registries Coronary Artery Disease Vascular Calcification
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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.
Male Middle Aged Deep Learning Aorta, Thoracic Vascular Calcification Aortic Diseases Retrospective Studies Tomography, X-Ray Computed Female Aged Aged, 80 and over Humans Algorithms
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A Multi-Task Learning Approach for Segmentation of Breast Arterial Calcifications in Screening Mammograms.

AMIA ... Annual Symposium proceedings. AMIA Symposium Jan 1, 2024
Screening mammogram is a standard and cost-efficient imaging procedure to measure breast cancer risk among 45+ year old women. Quantifying breast arterial calcification (BAC) from screening mammograms is a non-invasive and cost-efficient approach to ...
Middle Aged Mammography Radiographic Image Interpretation, Computer-Assisted Breast Vascular Calcification Humans Machine Learning Female Breast Neoplasms
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Enhanced CT imaging artificial neural network coronary artery calcification score assisted diagnosis.

Technology and health care : official journal of the European Society for Engineering and Medicine Jan 1, 2024
BACKGROUND: The study of coronary artery calcification (CAC) may assist in identifying additional coronary artery problem protective factors. On the contrary side, due to the wide variety of CAC as individuals, CAC research is difficult. Due to this,...
Humans Neural Networks, Computer Machine Learning Algorithms Tomography, X-Ray Computed Female Reproducibility of Results Male Middle Aged Coronary Artery Disease Vascular Calcification
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Deep-learning-based cardiovascular risk stratification using coronary artery calcium scores predicted from retinal photographs.

The Lancet. Digital health May 1, 2021
BACKGROUND: Coronary artery calcium (CAC) score is a clinically validated marker of cardiovascular disease risk. We developed and validated a novel cardiovascular risk stratification system based on deep-learning-predicted CAC from retinal photograph...
Female Aged Adult Male Cardiovascular Diseases Middle Aged Risk Assessment Deep Learning ROC Curve Humans Algorithms Republic of Korea Retina United Kingdom Proportional Hazards Models Kaplan-Meier Estimate Vascular Calcification Predictive Value of Tests Area Under Curve Singapore Coronary Artery Disease
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Artificial intelligence modeling of vascular calcification.

Acta biochimica et biophysica Sinica Dec 11, 2020
Humans Artificial Intelligence Vascular Calcification Models, Cardiovascular
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Machine learning to predict the long-term risk of myocardial infarction and cardiac death based on clinical risk, coronary calcium, and epicardial adipose tissue: a prospective study.

Cardiovascular research Dec 1, 2020
AIMS: Our aim was to evaluate the performance of machine learning (ML), integrating clinical parameters with coronary artery calcium (CAC), and automated epicardial adipose tissue (EAT) quantification, for the prediction of long-term risk of myocardi...
Computed Tomography Angiography Pericardium Myocardial Infarction Sex Factors Multidetector Computed Tomography Vascular Calcification Prognosis Female Risk Factors Aged Male Humans Machine Learning Decision Support Techniques Prospective Studies Predictive Value of Tests Coronary Angiography Cause of Death Radiographic Image Interpretation, Computer-Assisted Coronary Artery Disease Middle Aged Risk Assessment Time Factors Adipose Tissue
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Accuracy of an Artificial Intelligence Deep Learning Algorithm Implementing a Recurrent Neural Network With Long Short-term Memory for the Automated Detection of Calcified Plaques From Coronary Computed Tomography Angiography.

Journal of thoracic imaging May 1, 2020
PURPOSE: The purpose of this study was to evaluate the accuracy of a novel fully automated deep learning (DL) algorithm implementing a recurrent neural network (RNN) with long short-term memory (LSTM) for the detection of coronary artery calcium (CAC...
Coronary Artery Disease Coronary Vessels Vascular Calcification Computed Tomography Angiography Time Reproducibility of Results Deep Learning Coronary Angiography Radiographic Image Interpretation, Computer-Assisted Humans Neural Networks, Computer Artificial Intelligence Retrospective Studies
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