AIMC Topic: Echocardiography
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Impact of chronic intermittent hypoxia on the long non-coding RNA and mRNA expression profiles in myocardial infarction.
Journal of cellular and molecular medicine
Nov 20, 2020
Chronic intermittent hypoxia (CIH) is the primary feature of obstructive sleep apnoea (OSA), a crucial risk factor for cardiovascular diseases. Long non-coding RNAs (lncRNAs) in myocardial infarction (MI) pathogenesis have drawn considerable attentio...
Automated estimation of echocardiogram image quality in hospitalized patients.
The international journal of cardiovascular imaging
Nov 19, 2020
We developed a machine learning model for efficient analysis of echocardiographic image quality in hospitalized patients. This study applied a machine learning model for automated transthoracic echo (TTE) image quality scoring in three inpatient grou...
Humans
Machine Learning
Female
Reproducibility of Results
Image Interpretation, Computer-Assisted
Automation
Middle Aged
Respiration, Artificial
Case-Control Studies
Feasibility Studies
Video Recording
Inpatients
Hospitalization
Adult
Predictive Value of Tests
Aged
Male
Aged, 80 and over
Echocardiography
Performance of Prediction Models for Diagnosing Severe Aortic Stenosis Based on Aortic Valve Calcium on Cardiac Computed Tomography: Incorporation of Radiomics and Machine Learning.
Korean journal of radiology
Nov 3, 2020
OBJECTIVE: We aimed to develop a prediction model for diagnosing severe aortic stenosis (AS) using computed tomography (CT) radiomics features of aortic valve calcium (AVC) and machine learning (ML) algorithms.
Left ventricular systolic dysfunction identification using artificial intelligence-augmented electrocardiogram in cardiac intensive care unit patients.
International journal of cardiology
Nov 2, 2020
BACKGROUND: An artificial intelligence-augmented electrocardiogram (AI-ECG) can identify left ventricular systolic dysfunction (LVSD). We examined the accuracy of AI ECG for identification of LVSD (defined as LVEF ≤40% by transthoracic echocardiogram...
Deep pyramid local attention neural network for cardiac structure segmentation in two-dimensional echocardiography.
Medical image analysis
Oct 18, 2020
Automatic semantic segmentation in 2D echocardiography is vital in clinical practice for assessing various cardiac functions and improving the diagnosis of cardiac diseases. However, two distinct problems have persisted in automatic segmentation in 2...
Steps to use artificial intelligence in echocardiography.
Journal of echocardiography
Oct 12, 2020
Artificial intelligence (AI) has influenced every field of cardiovascular imaging in all phases from acquisition to reporting. Compared with computed tomography and magnetic resonance imaging, there is an issue of high observer variation in the inter...
A machine learning algorithm supports ultrasound-naïve novices in the acquisition of diagnostic echocardiography loops and provides accurate estimation of LVEF.
The international journal of cardiovascular imaging
Oct 8, 2020
Left ventricular ejection fraction (LVEF) is the most important parameter in the assessment of cardiac function. A machine-learning algorithm was trained to guide ultrasound-novices to acquire diagnostic echocardiography images. The artificial intell...
[Artificial intelligence, of course!].
Annales de cardiologie et d'angeiologie
Oct 7, 2020
Diagnosis of left ventricular hypertrophy using convolutional neural network.
BMC medical informatics and decision making
Sep 25, 2020
BACKGROUND: Clinically, doctors obtain the left ventricular posterior wall thickness (LVPWT) mainly by observing ultrasonic echocardiographic video stream to capture a single frame of images with diagnostic significance, and then mark two key points ...
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