Computed Tomography Angiography

Improving intracranial aneurysms image quality and diagnostic confidence with deep learning reconstruction in craniocervical CT angiography.

Acta radiologica (Stockholm, Sweden : 1987) Jun 5, 2024

BACKGROUND: The diagnostic impact of deep learning computed tomography (CT) reconstruction on intracranial aneurysm (IA) remains unclear.

Intracranial Aneurysm Radiographic Image Interpretation, Computer-Assisted Signal-To-Noise Ratio Humans Computed Tomography Angiography Retrospective Studies Cerebral Angiography Female Aged Adult Male Middle Aged Deep Learning

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Assessing the Impact of an Artificial Intelligence-Based Model for Intracranial Aneurysm Detection in CT Angiography on Patient Diagnosis and Outcomes (IDEAL Study)-a protocol for a multicenter, double-blinded randomized controlled trial.

Trials Jun 4, 2024

BACKGROUND: This multicenter, double-blinded, randomized controlled trial (RCT) aims to assess the impact of an artificial intelligence (AI)-based model on the efficacy of intracranial aneurysm detection in CT angiography (CTA) and its influence on p...

Humans Artificial Intelligence Prospective Studies Female Predictive Value of Tests Double-Blind Method Computed Tomography Angiography Cerebral Angiography Intracranial Aneurysm Adult Male Time Factors Multicenter Studies as Topic Randomized Controlled Trials as Topic

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New Diagnostic Tools for Pulmonary Embolism Detection.

Methodist DeBakey cardiovascular journal May 16, 2024

The presentation of pulmonary embolism (PE) varies from asymptomatic to life-threatening, and management involves multiple specialists. Timely diagnosis of PE is based on clinical presentation, D-dimer testing, and computed tomography pulmonary angio...

Computed Tomography Angiography Predictive Value of Tests Pulmonary Artery Humans Radiographic Image Interpretation, Computer-Assisted Artificial Intelligence Workflow Biomarkers Pulmonary Embolism Prognosis Fibrin Fibrinogen Degradation Products

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Artificial Intelligence-Enabled Quantitative Coronary Plaque and Hemodynamic Analysis for Predicting Acute Coronary Syndrome.

JACC. Cardiovascular imaging May 15, 2024

BACKGROUND: A lesion-level risk prediction for acute coronary syndrome (ACS) needs better characterization.

Computed Tomography Angiography Coronary Circulation Acute Coronary Syndrome Coronary Vessels Rupture, Spontaneous Multidetector Computed Tomography Plaque, Atherosclerotic Predictive Value of Tests Coronary Angiography Radiographic Image Interpretation, Computer-Assisted Humans Coronary Artery Disease Middle Aged Artificial Intelligence Prognosis Female Risk Assessment Reproducibility of Results Severity of Illness Index Risk Factors Hemodynamics Aged Time Factors Male

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Impact of rapid iodine contrast agent infusion on tracheal diameter and lung volume in CT pulmonary angiography measured with deep learning-based algorithm.

Japanese journal of radiology May 11, 2024

PURPOSE: To compare computed tomography (CT) pulmonary angiography and unenhanced CT to determine the effect of rapid iodine contrast agent infusion on tracheal diameter and lung volume.

Female Lung Volume Measurements Aged Computed Tomography Angiography Aged, 80 and over Trachea Humans Adult Middle Aged Algorithms Male Lung Retrospective Studies Deep Learning Iodine Contrast Media

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Use of Artificial Intelligence Software to Detect Intracranial Aneurysms: A Comprehensive Stroke Center Experience.

World neurosurgery May 10, 2024

OBJECTIVE: To evaluate variability in aneurysm detection and the potential of artificial intelligence (AI) software as a screening tool by comparing conventional computed tomography angiography (CTA) images (standard care) with AI software.

Humans Artificial Intelligence Software Retrospective Studies Female Aged Adult Sensitivity and Specificity Cerebral Angiography Male Intracranial Aneurysm Middle Aged Stroke Computed Tomography Angiography

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Evaluation of image quality on low contrast media with deep learning image reconstruction algorithm in prospective ECG-triggering coronary CT angiography.

The international journal of cardiovascular imaging May 9, 2024

To assess the impact of low-dose contrast media (CM) injection protocol with deep learning image reconstruction (DLIR) algorithm on image quality in coronary CT angiography (CCTA). In this prospective study, patients underwent CCTA were prospectively...

Radiation Dosage Multidetector Computed Tomography Computed Tomography Angiography Cardiac-Gated Imaging Techniques Middle Aged Deep Learning Electrocardiography Contrast Media Predictive Value of Tests Coronary Angiography Radiographic Image Interpretation, Computer-Assisted Coronary Artery Disease Prospective Studies Heart Rate Female Coronary Vessels Reproducibility of Results Humans Aged Male

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Deep learning-based fully automatic screening of carotid artery plaques in computed tomography angiography: a multicenter study.

Clinical radiology May 6, 2024

AIM: To develop and validate a deep learning (DL) algorithm for the automated detection and classification of carotid artery plaques (CAPs) on computed tomography angiography (CTA) images.

Carotid Stenosis Carotid Artery Diseases Radiographic Image Interpretation, Computer-Assisted Carotid Arteries Plaque, Atherosclerotic Computed Tomography Angiography Aged Sensitivity and Specificity Male Humans Middle Aged Retrospective Studies Deep Learning Female

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Artificial intelligence in coronary artery calcium score: rationale, different approaches, and outcomes.

The international journal of cardiovascular imaging May 3, 2024

Almost 35 years after its introduction, coronary artery calcium score (CACS) not only survived technological advances but became one of the cornerstones of contemporary cardiovascular imaging. Its simplicity and quantitative nature established it as ...

Humans Artificial Intelligence Prognosis Reproducibility of Results Severity of Illness Index Coronary Vessels Vascular Calcification Computed Tomography Angiography Cardiac-Gated Imaging Techniques Deep Learning Predictive Value of Tests Coronary Angiography Radiographic Image Interpretation, Computer-Assisted Coronary Artery Disease

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Prediction of endovascular leaks after thoracic endovascular aneurysm repair though machine learning applied to pre-procedural computed tomography angiographs.

Physical and engineering sciences in medicine May 2, 2024

To predict endoleaks after thoracic endovascular aneurysm repair (TEVAR) we submitted patient characteristics and vessel features observed on pre- operative computed tomography angiography (CTA) to machine-learning. We evaluated 1-year follow-up CT s...

Humans Endoleak Endovascular Aneurysm Repair Male Machine Learning Middle Aged Female Aortic Aneurysm, Thoracic Aged Endovascular Procedures Aged, 80 and over Computed Tomography Angiography

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AI Medical Compendium Topic

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

Improving intracranial aneurysms image quality and diagnostic confidence with deep learning reconstruction in craniocervical CT angiography.

Assessing the Impact of an Artificial Intelligence-Based Model for Intracranial Aneurysm Detection in CT Angiography on Patient Diagnosis and Outcomes (IDEAL Study)-a protocol for a multicenter, double-blinded randomized controlled trial.

New Diagnostic Tools for Pulmonary Embolism Detection.

Artificial Intelligence-Enabled Quantitative Coronary Plaque and Hemodynamic Analysis for Predicting Acute Coronary Syndrome.

Impact of rapid iodine contrast agent infusion on tracheal diameter and lung volume in CT pulmonary angiography measured with deep learning-based algorithm.

Use of Artificial Intelligence Software to Detect Intracranial Aneurysms: A Comprehensive Stroke Center Experience.

Evaluation of image quality on low contrast media with deep learning image reconstruction algorithm in prospective ECG-triggering coronary CT angiography.

Deep learning-based fully automatic screening of carotid artery plaques in computed tomography angiography: a multicenter study.

Artificial intelligence in coronary artery calcium score: rationale, different approaches, and outcomes.

Prediction of endovascular leaks after thoracic endovascular aneurysm repair though machine learning applied to pre-procedural computed tomography angiographs.

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