A clinically applicable AI system for diagnosis of congenital heart diseases based on computed tomography images
Congenital heart disease (CHD) is the most common type of birth defect. Without timely
detection and treatment, approximately one-third of children with CHD would die in the infant …
detection and treatment, approximately one-third of children with CHD would die in the infant …
[HTML][HTML] Combined In-silico and Machine Learning Approaches Toward Predicting Arrhythmic Risk in Post-infarction Patients
MM Maleckar, L Myklebust, J Uv, PM Florvaag… - Frontiers in …, 2021 - frontiersin.org
Background: Remodeling due to myocardial infarction (MI) significantly increases patient
arrhythmic risk. Simulations using patient-specific models have shown promise in predicting …
arrhythmic risk. Simulations using patient-specific models have shown promise in predicting …
[HTML][HTML] Overview of artificial intelligence research within hip and knee arthroplasty
JP Mickley, ES Kaji, B Khosravi, KL Mulford… - Arthroplasty Today, 2024 - Elsevier
Hip and knee arthroplasty are high-volume procedures undergoing rapid growth. The large
volume of procedures generates a vast amount of data available for next-generation …
volume of procedures generates a vast amount of data available for next-generation …
Real-time CNN based ST depression episode detection using single-lead ECG
E Tiryaki, A Sonawane, L Tamil - 2021 22nd International …, 2021 - ieeexplore.ieee.org
A method for real monitoring of the heart for ST-depression episodes is described here. We
have developed a convolutional neural network (CNN) based machine learning algorithm …
have developed a convolutional neural network (CNN) based machine learning algorithm …