A multi-task deep learning approach for real-time view classification and quality assessment of echocardiographic images
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DOI: 10.1038/s41598-024-71530-z
Abstract: High-quality standard views in two-dimensional echocardiography are essential for accurate cardiovascular disease diagnosis and treatment decisions. However, the quality of echocardiographic images is highly dependent on the practitioner’s experience. Ensuring timely quality control of echocardiographic… read more here.
Keywords: quality; multi task; time; quality assessment ... See more keywords
Automatic Detection of Secundum Atrial Septal Defect in Children Based on Color Doppler Echocardiographic Images Using Convolutional Neural Networks
Sign Up to like & getrecommendations! Published in 2022 at "Frontiers in Cardiovascular Medicine"
DOI: 10.3389/fcvm.2022.834285
Abstract: Secundum atrial septal defect (ASD) is one of the most common congenital heart diseases (CHDs). This study aims to evaluate the feasibility and accuracy of automatic detection of ASD in children based on color Doppler… read more here.
Keywords: atrial septal; secundum atrial; echocardiographic images; automatic detection ... See more keywords
The use of artificial intelligence for predicting postinfarction myocardial viability in echocardiographic images
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DOI: 10.5603/cj.93887
Abstract: Background Evaluation of standard echocardiographic examination with artificial intelligence may help in the diagnosis of myocardial viability and function recovery after acute coronary syndrome. Methods Sixty-one consecutive patients with acute coronary syndrome were enrolled in… read more here.
Keywords: artificial intelligence; use artificial; myocardial viability; viability ... See more keywords