2023 World Heart Federation guidelines for the echocardiographic diagnosis of rheumatic heart disease

J Rwebembera, J Marangou, JC Mwita… - Nature Reviews …, 2024 - nature.com
Rheumatic heart disease (RHD) is an important and preventable cause of morbidity and
mortality among children and young adults in low-income and middle-income countries, as …

Artificial intelligence and pediatrics: synthetic knowledge synthesis

J Završnik, P Kokol, B Žlahtič, H Blažun Vošner - Electronics, 2024 - mdpi.com
The first publication on the use of artificial intelligence (AI) in pediatrics dates back to 1984.
Since then, research on AI in pediatrics has become much more popular, and the number of …

Using Artificial Intelligence for Rheumatic Heart Disease Detection by Echocardiography: Focus on Mitral Regurgitation

K Brown, P Roshanitabrizi, J Rwebembera… - Journal of the …, 2024 - Am Heart Assoc
Background Identification of children with latent rheumatic heart disease (RHD) by
echocardiography, before onset of symptoms, provides an opportunity to initiate secondary …

The use of artificial intelligence guidance for rheumatic heart disease screening by novices

D Peck, J Rwebembera, D Nakagaayi, NW Minja… - Journal of the American …, 2023 - Elsevier
Introduction A novel technology utilizing artificial intelligence (AI) to provide real-time image-
acquisition guidance, enabling novices to obtain diagnostic echocardiographic images …

Deep learning for echocardiography: Introduction for clinicians and future vision: State-of-the-art review

C Krittanawong, AMS Omar, S Narula, PP Sengupta… - Life, 2023 - mdpi.com
Exponential growth in data storage and computational power is rapidly narrowing the gap
between translating findings from advanced clinical informatics into cardiovascular clinical …

An Automated Machine Learning–Based Quantitative Multiparametric Approach for Mitral Regurgitation Severity Grading

A Sadeghpour, Z Jiang, YM Hummel, M Frost… - Cardiovascular …, 2025 - jacc.org
Background Considering the high prevalence of mitral regurgitation (MR) and the highly
subjective, variable MR severity reporting, an automated tool that could screen patients for …

A deep learning-based method for assessing tricuspid regurgitation using continuous wave Doppler spectra

S Xie, H Liu, L Su, J Shen, J Miao, D Huang, M Zhou… - Scientific Reports, 2024 - nature.com
Transthoracic echocardiography (TTE) is widely recognized as one of the principal
modalities for diagnosing tricuspid regurgitation (TR). The diagnostic procedures associated …

General and optimal 2D convolutional neural networks to predict the residual compressive strength of concretes exposed to high temperatures

H Kharrazi, V Toufigh, M Boroushaki - Engineering Applications of Artificial …, 2024 - Elsevier
High temperature severely deteriorates the durability and mechanical properties of concrete.
Experimental tests to obtain the compressive strength of fire-damaged concretes are costly …

Analysis of Mitral Regurgitation Jet for Rheumatic Heart Disease Detection in Doppler Echocardiography

P Roshanitabrizi, K Brown, A Tompsett… - 2023 IEEE 20th …, 2023 - ieeexplore.ieee.org
Rheumatic heart disease (RHD) is a common condition in young children living in low-and
middle-income countries where cardiology expertise is insufficiently available. Mitral …

Attention-guided model for mitral regurgitation analysis based on multi-task learning

J Wu, Z Ge, H Huang, H Wang, N Li, C Hu… - … Signal Processing and …, 2025 - Elsevier
For automated analysis of mitral valve regurgitation in non-Doppler-based 2D
echocardiography, there is limited work on combining quantitative tasks for cardiac targets …