AIMC Topic: Echocardiography

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Artificial intelligence for automated evaluation of aortic measurements in 2D echocardiography: Feasibility, accuracy, and reproducibility.

Echocardiography (Mount Kisco, N.Y.) Oct 20, 2022
AIMS: This study sought to examine the feasibility, accuracy and reproducibility of a novel, fully automated 2D transthoracic echocardiography (2D TTE) parasternal long axis (PLAX) view aortic measurements quantification software compared to board-ce...
Artificial Intelligence Retrospective Studies Reproducibility of Results Humans Echocardiography, Three-Dimensional Feasibility Studies Aorta Echocardiography Aortic Valve
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Machine Learning-Enabled Fully Automated Assessment of Left Ventricular Volume, Ejection Fraction and Strain: Experience in Pediatric and Young Adult Echocardiography.

Pediatric cardiology Oct 8, 2022
BACKGROUND: Left ventricular (LV) volumes, ejection fraction (EF), and myocardial strain have been shown to be predictive of clinical and subclinical heart disease. Automation of LV functional assessment overcomes difficult technical challenges and c...
Male Humans Ventricular Function, Left Prospective Studies Young Adult Female Adult Machine Learning Adolescent Stroke Volume Child Echocardiography Heart Ventricles
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A Hybrid Catheter Localisation Framework in Echocardiography Based on Electromagnetic Tracking and Deep Learning Segmentation.

Computational intelligence and neuroscience Oct 6, 2022
Interventional cardiology procedure is an important type of minimally invasive surgery that deals with the catheter-based treatment of cardiovascular diseases, such as coronary artery diseases, strokes, peripheral arterial diseases, and aortic diseas...
Electromagnetic Phenomena Deep Learning Catheters Reproducibility of Results Echocardiography
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Echocardiography Segmentation With Enforced Temporal Consistency.

IEEE transactions on medical imaging Sep 30, 2022
Convolutional neural networks (CNN) have demonstrated their ability to segment 2D cardiac ultrasound images. However, despite recent successes according to which the intra-observer variability on end-diastole and end-systole images has been reached, ...
Image Processing, Computer-Assisted Heart Neural Networks, Computer Echocardiography Observer Variation Humans
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IFT-Net: Interactive Fusion Transformer Network for Quantitative Analysis of Pediatric Echocardiography.

Medical image analysis Sep 29, 2022
The task of automatic segmentation and measurement of key anatomical structures in echocardiography is critical for subsequent extraction of clinical parameters. However, the influence of boundary blur, speckle noise, and other factors increase the d...
Heart Heart Ventricles Child Image Processing, Computer-Assisted Neural Networks, Computer Humans Echocardiography
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Artificial Intelligence in Clinical Echocardiography: Many Expectations, but Deep Uncertainties for Defining Strategies to Overcome Difficulties and Obstacles: Authors' Reply.

Journal of the American Society of Echocardiography : official publication of the American Society of Echocardiography Sep 22, 2022
Humans Artificial Intelligence Motivation Echocardiography
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An Automated View Classification Model for Pediatric Echocardiography Using Artificial Intelligence.

Journal of the American Society of Echocardiography : official publication of the American Society of Echocardiography Aug 29, 2022
BACKGROUND: View classification is a key step toward building a fully automated system for interpretation of echocardiograms. However, compared with adult echocardiograms, creating a view classification model for pediatric echocardiograms poses addit...
Predictive Value of Tests Leukemia Echocardiography Humans Child Artificial Intelligence Computer Simulation
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Automation of sub-aortic velocity time integral measurements by transthoracic echocardiography: clinical evaluation of an artificial intelligence-enabled tool in critically ill patients.

British journal of anaesthesia Aug 26, 2022
Cardiac Output Blood Flow Velocity Critical Illness Humans Echocardiography Artificial Intelligence Automation
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Fully automated mouse echocardiography analysis using deep convolutional neural networks.

American journal of physiology. Heart and circulatory physiology Aug 19, 2022
Echocardiography (echo) is a translationally relevant ultrasound imaging modality widely used to assess cardiac structure and function in preclinical models of heart failure (HF) during research and drug development. Although echo is a very valuable ...
Animals Echocardiography Humans Observer Variation Mice Neural Networks, Computer Image Processing, Computer-Assisted Heart Ventricles
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Artificial Intelligence in Clinical Echocardiography: Many Expectations, but Deep Uncertainties for Defining Strategies to Overcome Difficulties and Obstacles.

Journal of the American Society of Echocardiography : official publication of the American Society of Echocardiography Aug 12, 2022
Echocardiography Artificial Intelligence Motivation Machine Learning Humans
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