AIMC Topic: Echocardiography
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Emerging Role of Artificial Intelligence in Echocardiography.
Annals of cardiac anaesthesia
Apr 12, 2024
The Road to Robust and Automated Strain Measurements in Echocardiography by Deep Learning.
JACC. Cardiovascular imaging
Apr 10, 2024
Deep learning supported echocardiogram analysis: A comprehensive review.
Artificial intelligence in medicine
Apr 4, 2024
An echocardiogram is a sophisticated ultrasound imaging technique employed to diagnose heart conditions. The transthoracic echocardiogram, one of the most prevalent types, is instrumental in evaluating significant cardiac diseases. However, interpret...
Echocardiographic Detection of Regional Wall Motion Abnormalities Using Artificial Intelligence Compared to Human Readers.
Journal of the American Society of Echocardiography : official publication of the American Society of Echocardiography
Mar 30, 2024
BACKGROUND: Although regional wall motion abnormality (RWMA) detection is foundational to transthoracic echocardiography, current methods are prone to interobserver variability. We aimed to develop a deep learning (DL) model for RWMA assessment and c...
Deep Learning-Derived Myocardial Strain.
JACC. Cardiovascular imaging
Mar 27, 2024
BACKGROUND: Echocardiographic strain measurements require extensive operator experience and have significant intervendor variability. Creating an automated, open-source, vendor-agnostic method to retrospectively measure global longitudinal strain (GL...
Automatic multi-view pose estimation in focused cardiac ultrasound.
Medical image analysis
Mar 22, 2024
Focused cardiac ultrasound (FoCUS) is a valuable point-of-care method for evaluating cardiovascular structures and function, but its scope is limited by equipment and operator's experience, resulting in primarily qualitative 2D exams. This study pres...
US2Mask: Image-to-mask generation learning via a conditional GAN for cardiac ultrasound image segmentation.
Computers in biology and medicine
Mar 15, 2024
Cardiac ultrasound (US) image segmentation is vital for evaluating clinical indices, but it often demands a large dataset and expert annotations, resulting in high costs for deep learning algorithms. To address this, our study presents a framework ut...
An Automated Heart Shunt Recognition Pipeline Using Deep Neural Networks.
Journal of imaging informatics in medicine
Feb 22, 2024
Automated recognition of heart shunts using saline contrast transthoracic echocardiography (SC-TTE) has the potential to transform clinical practice, enabling non-experts to assess heart shunt lesions. This study aims to develop a fully automated and...
Automated echocardiographic left ventricular dimension assessment in dogs using artificial intelligence: Development and validation.
Journal of veterinary internal medicine
Feb 16, 2024
BACKGROUND: Artificial intelligence (AI) could improve accuracy and reproducibility of echocardiographic measurements in dogs.
Atrial Septal Defect Detection in Children Based on Ultrasound Video Using Multiple Instances Learning.
Journal of imaging informatics in medicine
Feb 12, 2024
Thoracic echocardiography (TTE) can provide sufficient cardiac structure information, evaluate hemodynamics and cardiac function, and is an effective method for atrial septal defect (ASD) examination. This paper aims to study a deep learning method b...
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