AI

Artificial Intelligence
Interconnecting “living machines” to digital devices.
Artificial Intelligence
An explainable artificial intelligence-enabled electrocardiogram analysis model for the classification of reduced left ventricular function
Aims, The black box nature of artificial intelligence (AI) hinders the development of interpretable AI models that are applicable in …
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Deep learning-based age estimation from chest X-rays indicates cardiovascular prognosis
Chest X-ray is one of the most widely used medical imaging tests worldwide to diagnose and manage heart and lung diseases. In this …
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Age prediction from coronary angiography using a deep neural network: Age as a potential label to extract prognosis-related imaging features
Coronary angiography (CAG) is still considered the reference standard for coronary artery assessment, especially in the treatment of …
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Automatic Detection of Left Ventricular Dilatation and Hypertrophy from Electrocardiograms Using Deep Learning
Left ventricular dilatation (LVD) and left ventricular hypertrophy (LVH) are risk factors for heart failure, and their detection …
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Deep learning model to detect significant aortic regurgitation using electrocardiography
Background, Aortic regurgitation (AR) is a common heart disease, with a relatively high prevalence of 4.9% in the Framingham Heart …
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Deep Learning Algorithm to Detect Cardiac Sarcoidosis
Background, Because the early diagnosis of subclinical cardiac sarcoidosis (CS) remains difficult, we developed a deep learning …
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Automatic detection of vessel structure by deep learning using intravascular ultrasound images of the coronary arteries
Intravascular ultrasound (IVUS) is a diagnostic modality used during percutaneous coronary intervention. However, specialist skills are …
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The Effectiveness of a Deep Learning Model to Detect Left Ventricular Systolic Dysfunction from Electrocardiograms
Deep learning models can be applied to electrocardiograms (ECGs) to detect left ventricular (LV) dysfunction. We hypothesized that …
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Diagnosing Heart Failure from Chest X-Ray Images Using Deep Learning
The development of deep learning technology has enabled machines to achieve high-level accuracy in interpreting medical images. While …
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