Computed Tomography Angiography

AI-Defined Cardiac Anatomy Improves Risk Stratification of Hybrid Perfusion Imaging.

JACC. Cardiovascular imaging Mar 6, 2024

BACKGROUND: Computed tomography attenuation correction (CTAC) improves perfusion quantification of hybrid myocardial perfusion imaging by correcting for attenuation artifacts. Artificial intelligence (AI) can automatically measure coronary artery cal...

Coronary Vessels Vascular Calcification Computed Tomography Angiography Coronary Circulation Myocardial Perfusion Imaging Single Photon Emission Computed Tomography Computed Tomography Predictive Value of Tests Coronary Angiography Radiographic Image Interpretation, Computer-Assisted Coronary Artery Disease Male Middle Aged Risk Assessment Time Factors Humans Reproducibility of Results Artificial Intelligence Risk Factors Prognosis Aged Retrospective Studies Female

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Optimizing Coronary Computed Tomography Angiography Using a Novel Deep Learning-Based Algorithm.

Journal of imaging informatics in medicine Mar 4, 2024

Coronary computed tomography angiography (CCTA) is an essential part of the diagnosis of chronic coronary syndrome (CCS) in patients with low-to-intermediate pre-test probability. The minimum technical requirement is 64-row multidetector CT (64-MDCT)...

Algorithms Female Aged Male Middle Aged Humans Coronary Vessels Multidetector Computed Tomography Computed Tomography Angiography Deep Learning Image Processing, Computer-Assisted Coronary Angiography Artifacts

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Development and Validation of a Natural Language Processing Model to Identify Low-Risk Pulmonary Embolism in Real Time to Facilitate Safe Outpatient Management.

Annals of emergency medicine Mar 2, 2024

STUDY OBJECTIVE: This study aimed to (1) develop and validate a natural language processing model to identify the presence of pulmonary embolism (PE) based on real-time radiology reports and (2) identify low-risk PE patients based on previously valid...

Middle Aged Risk Assessment Decision Support Systems, Clinical Natural Language Processing Emergency Service, Hospital Female Aged Adult Male Pulmonary Embolism Ambulatory Care Computed Tomography Angiography Humans Retrospective Studies Electronic Health Records

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Utilizing imaging parameters for functional outcome prediction in acute ischemic stroke: A machine learning study.

Journal of neuroimaging : official journal of the American Society of Neuroimaging Mar 2, 2024

BACKGROUND AND PURPOSE: We aimed to predict the functional outcome of acute ischemic stroke patients with anterior circulation large vessel occlusions (LVOs), irrespective of how they were treated or the severity of the stroke at admission, by only u...

Recovery of Function Ischemic Stroke Computed Tomography Angiography Machine Learning Cerebral Angiography Algorithms Prognosis Retrospective Studies Humans Aged, 80 and over Male Female Middle Aged Aged

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Deep Learning Imaging Reconstruction Algorithm for Carotid Dual Energy CT Angiography: Opportunistic Evaluation of Cervical Intervertebral Discs-A Preliminary Study.

Journal of imaging informatics in medicine Mar 1, 2024

Thus, the aim of this study is to evaluate the performance of deep learning imaging reconstruction (DLIR) algorithm in different image sets derived from carotid dual-energy computed tomography angiography (DECTA) for evaluating cervical intervertebra...

Humans Algorithms Image Processing, Computer-Assisted Retrospective Studies Adult Cervical Vertebrae Carotid Arteries Female Male Computed Tomography Angiography Aged Middle Aged Intervertebral Disc Deep Learning

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Comparison of machine learning-based CT fractional flow reserve with cardiac MR perfusion mapping for ischemia diagnosis in stable coronary artery disease.

European radiology Feb 26, 2024

OBJECTIVES: To compare the diagnostic performance of machine learning (ML)-based computed tomography-derived fractional flow reserve (CT-FFR) and cardiac magnetic resonance (MR) perfusion mapping for functional assessment of coronary stenosis.

Prospective Studies Humans Magnetic Resonance Imaging Tomography, X-Ray Computed Computed Tomography Angiography Male Machine Learning Coronary Angiography Female Myocardial Perfusion Imaging Middle Aged Coronary Artery Disease Aged Coronary Stenosis Fractional Flow Reserve, Myocardial

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When artificial intelligence meets photon-counting coronary CT angiography to reduce the need for invasive coronary angiography in TAVR candidates.

Diagnostic and interventional imaging Feb 26, 2024

Transcatheter Aortic Valve Replacement Humans Photons Artificial Intelligence Coronary Angiography Computed Tomography Angiography

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Aorta Segmentation in 3D CT Images by Combining Image Processing and Machine Learning Techniques.

Cardiovascular engineering and technology Feb 22, 2024

PURPOSE: Aorta segmentation is extremely useful in clinical practice, allowing the diagnosis of numerous pathologies, such as dissections, aneurysms and occlusive disease. In such cases, image segmentation is prerequisite for applying diagnostic algo...

Markov Chains Aorta Computed Tomography Angiography Aortic Diseases Aortography Reproducibility of Results Imaging, Three-Dimensional Predictive Value of Tests Radiographic Image Interpretation, Computer-Assisted Humans Machine Learning

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Coronary artery disease evaluation during transcatheter aortic valve replacement work-up using photon-counting CT and artificial intelligence.

Diagnostic and interventional imaging Feb 16, 2024

PURPOSE: The purpose of this study was to evaluate the capabilities of photon-counting (PC) CT combined with artificial intelligence-derived coronary computed tomography angiography (PC-CCTA) stenosis quantification and fractional flow reserve predic...

Artificial Intelligence Transcatheter Aortic Valve Replacement Retrospective Studies Humans Aortic Valve Stenosis Coronary Artery Disease Female Aged Coronary Angiography Computed Tomography Angiography Aged, 80 and over Fractional Flow Reserve, Myocardial Male Middle Aged

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Low-tube-voltage whole-body CT angiography with extremely low iodine dose: a comparison between hybrid-iterative reconstruction and deep-learning image-reconstruction algorithms.

Clinical radiology Feb 15, 2024

AIM: To evaluate arterial enhancement, its depiction, and image quality in low-tube potential whole-body computed tomography (CT) angiography (CTA) with extremely low iodine dose and compare the results with those obtained by hybrid-iterative reconst...

Humans Algorithms Aortic Diseases Deep Learning Prospective Studies Aged Whole Body Imaging Radiographic Image Interpretation, Computer-Assisted Female Contrast Media Aged, 80 and over Radiation Dosage Male Computed Tomography Angiography Middle Aged

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Explore the latest research on artificial intelligence and machine learning in medicine.

AI-Defined Cardiac Anatomy Improves Risk Stratification of Hybrid Perfusion Imaging.

Optimizing Coronary Computed Tomography Angiography Using a Novel Deep Learning-Based Algorithm.

Development and Validation of a Natural Language Processing Model to Identify Low-Risk Pulmonary Embolism in Real Time to Facilitate Safe Outpatient Management.

Utilizing imaging parameters for functional outcome prediction in acute ischemic stroke: A machine learning study.

Deep Learning Imaging Reconstruction Algorithm for Carotid Dual Energy CT Angiography: Opportunistic Evaluation of Cervical Intervertebral Discs-A Preliminary Study.

Comparison of machine learning-based CT fractional flow reserve with cardiac MR perfusion mapping for ischemia diagnosis in stable coronary artery disease.

When artificial intelligence meets photon-counting coronary CT angiography to reduce the need for invasive coronary angiography in TAVR candidates.

Aorta Segmentation in 3D CT Images by Combining Image Processing and Machine Learning Techniques.

Coronary artery disease evaluation during transcatheter aortic valve replacement work-up using photon-counting CT and artificial intelligence.

Low-tube-voltage whole-body CT angiography with extremely low iodine dose: a comparison between hybrid-iterative reconstruction and deep-learning image-reconstruction algorithms.

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