AI Medical Compendium Journal:
The international journal of cardiovascular imaging

Showing 11 to 20 of 65 articles

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...
Male Middle Aged Coronary Vessels Severity of Illness Index Time Factors Multidetector Computed Tomography Vascular Calcification Electrocardiography Computed Tomography Angiography Predictive Value of Tests Cardiac-Gated Imaging Techniques Coronary Angiography Radiologists Radiographic Image Interpretation, Computer-Assisted Coronary Artery Disease Workflow Observer Variation Humans Artificial Intelligence Retrospective Studies Female Reproducibility of Results Aged
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Assessing the need for coronary angiography in high-risk non-ST-elevation acute coronary syndrome patients using artificial intelligence and computed tomography.

The international journal of cardiovascular imaging Nov 8, 2024
PURPOSE: This study aimed to evaluate the efficacy of the Chat Generative Pre-trained Transformer (ChatGPT) in guiding the need for invasive coronary angiography (ICA) in high-risk non-ST-elevation (NSTE) acute coronary syndrome (ACS) patients based ...
Predictive Value of Tests Double-Blind Method Coronary Angiography Radiographic Image Interpretation, Computer-Assisted Acute Coronary Syndrome Computed Tomography Angiography Risk Factors Aged Male Middle Aged Risk Assessment Non-ST Elevated Myocardial Infarction Humans Artificial Intelligence Decision Support Techniques Prospective Studies Clinical Decision-Making Female Reproducibility of Results
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Deep learning automatically distinguishes myocarditis patients from normal subjects based on MRI.

The international journal of cardiovascular imaging Nov 7, 2024
Myocarditis, characterized by inflammation of the myocardial tissue, presents substantial risks to cardiovascular functionality, potentially precipitating critical outcomes including heart failure and arrhythmias. This investigation primarily aims to...
Male Middle Aged Case-Control Studies Deep Learning Magnetic Resonance Imaging Predictive Value of Tests Humans Retrospective Studies Female Reproducibility of Results Young Adult Adult Myocardium Myocarditis Image Interpretation, Computer-Assisted Automation Magnetic Resonance Imaging, Cine
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Artificial intelligence-enhanced detection of subclinical coronary artery disease in athletes: diagnostic performance and limitations.

The international journal of cardiovascular imaging Oct 7, 2024
PURPOSE: This study evaluates the diagnostic performance of artificial intelligence (AI)-based coronary computed tomography angiography (CCTA) for detecting coronary artery disease (CAD) and assessing fractional flow reserve (FFR) in asymptomatic mal...
Artificial Intelligence Prospective Studies Reproducibility of Results Aged Male Middle Aged Athletes Severity of Illness Index Humans Coronary Vessels Predictive Value of Tests Asymptomatic Diseases Coronary Angiography Computed Tomography Angiography Radiographic Image Interpretation, Computer-Assisted Coronary Stenosis Coronary Artery Disease Fractional Flow Reserve, Myocardial Running
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Radiomics prediction models of left atrial appendage hypercoagulability based on machine learning algorithms: an exploration about cardiac computed tomography angiography imaging.

The international journal of cardiovascular imaging Sep 25, 2024
Transesophageal echocardiography (TEE) is the standard method for diagnosing left atrial appendage (LAA) hypercoagulability in patients with atrial fibrillation (AF), which means LAA thrombus/sludge, dense spontaneous echo contrast and slow LAA blood...
Atrial Fibrillation Thrombophilia Multidetector Computed Tomography Computed Tomography Angiography Atrial Appendage Nomograms Predictive Value of Tests Anticoagulants Blood Coagulation Coronary Angiography Radiographic Image Interpretation, Computer-Assisted Aged Humans Radiomics Machine Learning Male Decision Support Techniques Middle Aged Retrospective Studies Risk Assessment Female Reproducibility of Results Risk Factors
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Improved detection of small pulmonary embolism on unenhanced computed tomography using an artificial intelligence-based algorithm - a single centre retrospective study.

The international journal of cardiovascular imaging Aug 28, 2024
To preliminarily verify the feasibility of a deep-learning (DL) artificial intelligence (AI) model to localize pulmonary embolism (PE) on unenhanced chest-CT by comparison with pulmonary artery (PA) CT angiography (CTA). In a monocentric study, we re...
Pulmonary Embolism Female Reproducibility of Results Computed Tomography Angiography Aged Pulmonary Artery Middle Aged Aged, 80 and over Incidental Findings Deep Learning Adult Predictive Value of Tests Male Humans Radiographic Image Interpretation, Computer-Assisted Algorithms Feasibility Studies Retrospective Studies
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Deep learning model for intravascular ultrasound image segmentation with temporal consistency.

The international journal of cardiovascular imaging Aug 27, 2024
This study was conducted to develop and validate a deep learning model for delineating intravascular ultrasound (IVUS) images of coronary arteries.Using a total of 1240 40-MHz IVUS pullbacks with 191,407 frames, the model for lumen and external elast...
Retrospective Studies Female Reproducibility of Results Aged Male Middle Aged Deep Learning Coronary Vessels Time Factors Plaque, Atherosclerotic Predictive Value of Tests Humans Ultrasonography, Interventional Prognosis Coronary Artery Disease Image Interpretation, Computer-Assisted
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Assessment of left ventricular wall thickness and dimension: accuracy of a deep learning model with prediction uncertainty.

The international journal of cardiovascular imaging Aug 10, 2024
Left ventricular (LV) geometric patterns aid clinicians in the diagnosis and prognostication of various cardiomyopathies. The aim of this study is to assess the accuracy and reproducibility of LV dimensions and wall thickness using deep learning (DL)...
Anatomic Landmarks Heart Ventricles Image Interpretation, Computer-Assisted Models, Cardiovascular Uncertainty Male Humans Ventricular Function, Left Female Echocardiography Reproducibility of Results Middle Aged Aged Deep Learning Predictive Value of Tests
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Artificial intelligence-derived left ventricular strain in echocardiography in patients treated with chemotherapy.

The international journal of cardiovascular imaging Jul 23, 2024
Global longitudinal strain (GLS) is an echocardiographic measure to detect chemotherapy-related cardiovascular dysfunction. However, its limited availability and the needed expertise may restrict its generalization. Artificial intelligence (AI)-based...
Middle Aged Neoplasms Aged Antineoplastic Agents Ventricular Dysfunction, Left Humans Aged, 80 and over Predictive Value of Tests Image Interpretation, Computer-Assisted Artificial Intelligence Male Heart Ventricles Observer Variation Retrospective Studies Ventricular Function, Left Ventricular Remodeling Cardiotoxicity Female Stroke Volume Reproducibility of Results Echocardiography
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Deep learning prediction of survival in patients with heart failure using chest radiographs.

The international journal of cardiovascular imaging Jul 5, 2024
Heart failure (HF) is associated with high rates of morbidity and mortality. The value of deep learning survival prediction models using chest radiographs in patients with heart failure is currently unclear. The aim of our study is to develop and val...
Aged, 80 and over Male Middle Aged Risk Assessment Deep Learning Time Factors Prognosis Humans Predictive Value of Tests Retrospective Studies Decision Support Techniques Heart Failure Female Radiography, Thoracic Reproducibility of Results Risk Factors Aged
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