AIMC Topic: Coronary Artery Disease

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Artificial Intelligence for Aortic Pressure Waveform Analysis During Coronary Angiography: Machine Learning for Patient Safety.

JACC. Cardiovascular interventions Sep 25, 2019
OBJECTIVES: This study developed a neural network to perform automated pressure waveform analysis and allow real-time accurate identification of damping.
Cardiac Catheterization Artifacts Observer Variation Arterial Pressure Risk Factors Aorta Aged Male Middle Aged Europe Predictive Value of Tests Coronary Angiography Coronary Artery Disease Heart Rate Machine Learning Patient Safety Databases, Factual Female Reproducibility of Results Humans Neural Networks, Computer
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Machine learning based risk prediction model for asymptomatic individuals who underwent coronary artery calcium score: Comparison with traditional risk prediction approaches.

Journal of cardiovascular computed tomography Sep 23, 2019
BACKGROUND: Machine learning (ML) is a computer algorithm used to identify patterns for prediction in various tasks, and ML methods have been beneficial for developing prediction models when applied to heterogeneous and large datasets. We aim to exam...
Retrospective Studies Republic of Korea Female Risk Factors Adult Machine Learning Decision Support Techniques Databases, Factual Prognosis Health Status Predictive Value of Tests Coronary Angiography Registries Coronary Artery Disease Male Middle Aged Risk Assessment Time Factors Humans Vascular Calcification Asymptomatic Diseases
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Automated Detection of Vulnerable Plaque for Intravascular Optical Coherence Tomography Images.

Cardiovascular engineering and technology Sep 18, 2019
PURPOSE: Vulnerable plaque detection is important to acute coronary syndrome (ACS) diagnosis. In recent years, intravascular optical coherence tomography (IVOCT) imaging has been used for vulnerable plaque detection. Current automated detection metho...
Image Interpretation, Computer-Assisted Humans Automation Neural Networks, Computer Diagnosis, Computer-Assisted Coronary Vessels Prognosis Predictive Value of Tests Reproducibility of Results Rupture, Spontaneous Tomography, Optical Coherence Plaque, Atherosclerotic Coronary Artery Disease
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Cath Lab Robotics: Paradigm Change in Interventional Cardiology?

Current cardiology reports Aug 31, 2019
PURPOSE OF REVIEW: To review the contemporary evidence for robotic-assisted percutaneous coronary and vascular interventions, discussing its current capabilities, limitations, and potential future applications.
Humans Radiation Exposure Treatment Outcome Percutaneous Coronary Intervention Cardiology Robotics Coronary Artery Disease Coronary Angiography Therapy, Computer-Assisted Radiation Injuries
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Influence of Coronary Calcium on Diagnostic Performance of Machine Learning CT-FFR: Results From MACHINE Registry.

JACC. Cardiovascular imaging Aug 14, 2019
OBJECTIVES: This study was conducted to investigate the influence of coronary artery calcium (CAC) score on the diagnostic performance of machine-learning-based coronary computed tomography (CT) angiography (cCTA)-derived fractional flow reserve (CT-...
Radiographic Image Interpretation, Computer-Assisted Registries Coronary Artery Disease Vascular Calcification Asia Computed Tomography Angiography Fractional Flow Reserve, Myocardial North America Severity of Illness Index Diagnosis, Computer-Assisted Europe Predictive Value of Tests Reproducibility of Results Coronary Angiography Aged Male Middle Aged Humans Machine Learning Female
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Network latency and long-distance robotic telestenting: Exploring the potential impact of network delays on telestenting performance.

Catheterization and cardiovascular interventions : official journal of the Society for Cardiac Angiography & Interventions Aug 13, 2019
OBJECTIVE: This study evaluated the impact of network latency on telestenting performance.
Models, Animal Percutaneous Coronary Intervention Humans Female Therapy, Computer-Assisted Coronary Artery Disease Animals Feasibility Studies Sus scrofa Time Factors Stents Manikins Robotics Remote Consultation Computer Communication Networks
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Improved diagnostic accuracy for myocardial perfusion imaging using artificial neural networks on different input variables including clinical and quantification data.

Revista espanola de medicina nuclear e imagen molecular Aug 8, 2019
OBJECTIVE: Diagnostic accuracy of myocardial perfusion imaging (MPI) is not optimal to predict the result of angiography. The current study aimed at investigating the application of artificial neural network (ANN) to integrate the clinical data with ...
Myocardial Perfusion Imaging Reproducibility of Results Male Coronary Angiography Coronary Artery Disease Humans Neural Networks, Computer Retrospective Studies Female
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Radiomics versus Visual and Histogram-based Assessment to Identify Atheromatous Lesions at Coronary CT Angiography: An ex Vivo Study.

Radiology Aug 6, 2019
Background Visual and histogram-based assessments of coronary CT angiography have limited accuracy in the identification of advanced lesions. Radiomics-based machine learning (ML) could provide a more accurate tool. Purpose To compare the diagnostic ...
Reproducibility of Results Male Middle Aged Coronary Angiography Radiographic Image Interpretation, Computer-Assisted Coronary Artery Disease Plaque, Atherosclerotic Humans Machine Learning Prospective Studies Computed Tomography Angiography
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A new machine learning technique for an accurate diagnosis of coronary artery disease.

Computer methods and programs in biomedicine Jul 24, 2019
BACKGROUND AND OBJECTIVE: Coronary artery disease (CAD) is one of the commonest diseases around the world. An early and accurate diagnosis of CAD allows a timely administration of appropriate treatment and helps to reduce the mortality. Herein, we de...
Coronary Artery Disease Female Humans Data Mining Male Machine Learning Models, Cardiovascular Diagnosis, Computer-Assisted Algorithms Support Vector Machine Databases, Factual
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Machine learning-based coronary artery disease diagnosis: A comprehensive review.

Computers in biology and medicine Jul 4, 2019
Coronary artery disease (CAD) is the most common cardiovascular disease (CVD) and often leads to a heart attack. It annually causes millions of deaths and billions of dollars in financial losses worldwide. Angiography, which is invasive and risky, is...
Coronary Vessels Electrocardiography Machine Learning Humans Coronary Angiography Algorithms Coronary Artery Disease Databases, Factual Data Mining Tomography, X-Ray Computed Diagnosis, Computer-Assisted
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