AIMC Topic: Coronary Artery Disease

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Artificial intelligence-based assessment of built environment from Google Street View and coronary artery disease prevalence.

European heart journal May 7, 2024
BACKGROUND AND AIMS: Built environment plays an important role in the development of cardiovascular disease. Tools to evaluate the built environment using machine vision and informatic approaches have been limited. This study aimed to investigate the...
Humans Artificial Intelligence Female Cross-Sectional Studies Cities United States Coronary Artery Disease Built Environment Male Middle Aged Prevalence
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Artificial intelligence in Medicare: utilization, spending, and access to AI-enabled clinical software.

The American journal of managed care May 1, 2024
OBJECTIVES: In 2018, CMS established reimbursement for the first Medicare-covered artificial intelligence (AI)-enabled clinical software: CT fractional flow reserve (FFRCT) to assist in the diagnosis of coronary artery disease. This study quantified ...
Computed Tomography Angiography Female United States Humans Fractional Flow Reserve, Myocardial Coronary Angiography Aged Artificial Intelligence Fee-for-Service Plans Coronary Artery Disease Male Software Medicare
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Prognostic value of a novel artificial intelligence-based coronary computed tomography angiography-derived ischaemia algorithm for patients with suspected coronary artery disease.

European heart journal. Cardiovascular Imaging Apr 30, 2024
AIMS: Coronary computed tomography angiography (CTA) imaging is used to diagnose patients with suspected coronary artery disease (CAD). A novel artificial intelligence-guided quantitative computed tomography ischaemia algorithm (AI-QCTischaemia) aims...
Humans Artificial Intelligence Algorithms Male Middle Aged Risk Assessment Cohort Studies Prognosis Female Aged Computed Tomography Angiography Coronary Angiography Coronary Artery Disease Myocardial Ischemia
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Can machine learning predict cardiac risk using mammography?

European heart journal. Cardiovascular Imaging Mar 27, 2024
Mammography Coronary Artery Disease Humans Machine Learning Deep Learning
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Mammography-based deep learning model for coronary artery calcification.

European heart journal. Cardiovascular Imaging Mar 27, 2024
AIMS: Mammography, commonly used for breast cancer screening in women, can also predict cardiovascular disease. We developed mammography-based deep learning models for predicting coronary artery calcium (CAC) scores, an established predictor of coron...
Coronary Artery Disease Middle Aged Deep Learning Mammography Humans Female Adult Breast Neoplasms Cardiovascular Diseases
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Enhancing coronary artery plaque analysis via artificial intelligence-driven cardiovascular computed tomography.

Therapeutic advances in cardiovascular disease Jan 1, 2024
Coronary computed tomography angiography (CCTA) is a noninvasive imaging modality of cardiac structures and vasculature considered comparable to invasive coronary angiography for the evaluation of coronary artery disease (CAD) in several major cardio...
Radiographic Image Interpretation, Computer-Assisted Reproducibility of Results Coronary Artery Disease Severity of Illness Index Predictive Value of Tests Coronary Vessels Humans Plaque, Atherosclerotic Coronary Angiography Artificial Intelligence Computed Tomography Angiography Prognosis
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Improving Image Quality and Diagnostic Performance of CCTA in Patients with Challenging Heart Rate Conditions using a Deep Learning-based Motion Correction Algorithm.

Current medical imaging Jan 1, 2024
OBJECTIVE: Challenging HR conditions, such as elevated Heart Rate (HR) and Heart Rate Variability (HRV), are major contributors to motion artifacts in Coronary Computed Tomography Angiography (CCTA). This study aims to assess the impact of a deep lea...
Male Middle Aged Deep Learning Coronary Angiography Retrospective Studies Artifacts Humans Coronary Artery Disease Female Algorithms Signal-To-Noise Ratio Motion Aged Heart Rate Computed Tomography Angiography
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Development of an efficient novel method for coronary artery disease prediction using machine learning and deep learning techniques.

Technology and health care : official journal of the European Society for Engineering and Medicine Jan 1, 2024
BACKGROUND: Heart disease is a severe health issue that results in high fatality rates worldwide. Identifying cardiovascular diseases such as coronary artery disease (CAD) and heart attacks through repetitive clinical data analysis is a significant t...
Support Vector Machine Bayes Theorem Coronary Artery Disease Humans Female Male Middle Aged Deep Learning Neural Networks, Computer Machine Learning Algorithms
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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 Male Machine Learning Middle Aged Algorithms Coronary Artery Disease Vascular Calcification Tomography, X-Ray Computed Female Reproducibility of Results
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Deep Learning Models for Coronary Atherosclerosis Detection in Coronary CT Angiography.

Current medical imaging Jan 1, 2024
BACKGROUND: Patients with atherosclerosis have a rather high risk of showing complications, if not diagnosed quickly and efficiently.
Computed Tomography Angiography Image Interpretation, Computer-Assisted Datasets as Topic Wavelet Analysis Humans Neural Networks, Computer Risk Assessment Deep Learning Predictive Value of Tests Coronary Angiography Coronary Artery Disease
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