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Coronary Artery Disease

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Artificial intelligence in coronary artery calcium measurement: Barriers and solutions for implementation into daily practice.

European journal of radiology
Coronary artery calcification (CAC) measurement is a valuable predictor of cardiovascular risk. However, its measurement can be time-consuming and complex, thus driving the desire for artificial intelligence (AI)-based approaches. The aim of this rev...

Automated diagnosis of cardiovascular diseases from cardiac magnetic resonance imaging using deep learning models: A review.

Computers in biology and medicine
In recent years, cardiovascular diseases (CVDs) have become one of the leading causes of mortality globally. At early stages, CVDs appear with minor symptoms and progressively get worse. The majority of people experience symptoms such as exhaustion, ...

High-Speed On-Site Deep Learning-Based FFR-CT Algorithm: Evaluation Using Invasive Angiography as the Reference Standard.

AJR. American journal of roentgenology
Estimation of fractional flow reserve from coronary CTA (FFR-CT) is an established method of assessing the hemodynamic significance of coronary lesions. However, clinical implementation has progressed slowly, partly because of off-site data transfer...

Artificial intelligence using a deep learning versus expert computed tomography human reading in calcium score and coronary artery calcium data and reporting system classification.

Coronary artery disease
BACKGROUND: Artificial intelligence (AI) applied to cardiac imaging may provide improved processing, reading precision and advantages of automation. Coronary artery calcium (CAC) score testing is a standard stratification tool that is rapid and highl...

DBCU-Net: deep learning approach for segmentation of coronary angiography images.

The international journal of cardiovascular imaging
Coronary angiography (CAG) is the "gold standard" for diagnosing coronary artery disease (CAD). However, due to the limitation of current imaging methods, the CAG image has low resolution and poor contrast with a lot of artifacts and noise, which mak...

Urgent Combination of Robotic and MIDCAB Coronary Revascularization in a Morbidly Obese Patient.

Innovations (Philadelphia, Pa.)
In this article, we focus on the important role of robot-assisted coronary surgery by reporting the successful case of a morbidly obese male (body mass index = 58 kg/m) who presented to our center with severe coronary disease. A 54-year-old morbidly ...

An automated segmentation of coronary artery calcification using deep learning in specific region limitation.

Medical & biological engineering & computing
Coronary artery calcification (CAC) is a frequent disease of the arteries that supply the surface of the heart muscle. Leaving a severe disease untreated can make it permanent. Computer tomography (CT), which is well known for its ability to quantify...