AIMC Topic: Coronary Artery Disease
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AngioScore: An artificial intelligence tool to assess coronary artery lesions.
Cardiology journal
Oct 12, 2023
Deep Learning-Based Automated Labeling of Coronary Segments for Structured Reporting of Coronary Computed Tomography Angiography in Accordance With Society of Cardiovascular Computed Tomography Guidelines.
Journal of thoracic imaging
Oct 11, 2023
PURPOSE: To evaluate a novel deep learning (DL)-based automated coronary labeling approach for structured reporting of coronary artery disease according to the guidelines of the Society of Cardiovascular Computed Tomography (CT) on coronary CT angiog...
Diagnostic performance of a novel deep learning attenuation correction software for MPI using a cardio dedicated CZT camera. Experience in the clinical practice.
Revista espanola de medicina nuclear e imagen molecular
Sep 23, 2023
PURPOSE: To evaluate the diagnostic performance of a novel deep learning attenuation correction software (DLACS) for myocardial perfusion imaging (MPI) using a cadmium-zinc-telluride (CZT) cardio dedicated camera with invasive coronary angiography (I...
Improving detection of obstructive coronary artery disease with an artificial intelligence-enabled electrocardiogram algorithm.
Atherosclerosis
Aug 12, 2023
BACKGROUND AND AIMS: To evaluate the risk of coronary artery disease (CAD), the traditional approach involves assessing the patient's symptoms, traditional cardiovascular risk factors (CVRFs), and a 12-lead electrocardiogram (ECG). However, currently...
Deep learning-based coronary computed tomography analysis to predict functionally significant coronary artery stenosis.
Heart and vessels
Aug 8, 2023
Fractional flow reserve derived from coronary CT (FFR-CT) is a noninvasive physiological technique that has shown a good correlation with invasive FFR. However, the use of FFR-CT is restricted by strict application standards, and the diagnostic accur...
Deep learning-based motion correction algorithm for coronary CT angiography: Lowering the phase requirement for morphological and functional evaluation.
Journal of applied clinical medical physics
Jul 24, 2023
PURPOSE: To investigate the performance of a deep learning-based motion correction algorithm (MCA) at various cardiac phases of coronary computed tomography angiography (CCTA), and determine the extent to which it may allow for reliable morphological...
Artificial intelligence for coronary artery calcium scoring: A new trick for an old dog?
European journal of radiology
Jul 10, 2023
Deep learning model to predict exercise stress test results: Optimizing the diagnostic test selection strategy and reduce wastage in suspected coronary artery disease patients.
Computer methods and programs in biomedicine
Jul 9, 2023
BACKGROUND: Cardiac exercise stress testing (EST) offers a non-invasive way in the management of patients with suspected coronary artery disease (CAD). However, up to 30% EST results are either inconclusive or non-diagnostic, which results in signifi...
Recent advances in artificial intelligence for cardiac CT: Enhancing diagnosis and prognosis prediction.
Diagnostic and interventional imaging
Jul 4, 2023
Recent advances in artificial intelligence (AI) for cardiac computed tomography (CT) have shown great potential in enhancing diagnosis and prognosis prediction in patients with cardiovascular disease. Deep learning, a type of machine learning, has re...
Acute psychological stress-induced progenitor cell mobilization and cardiovascular events.
Journal of psychosomatic research
Jun 14, 2023
OBJECTIVE: Certain brain activation responses to psychological stress are associated with worse outcomes in CVD patients. We hypothesized that elevated acute psychological stress, manifesting as greater activity within neural centers for emotional re...
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