Deep learning for cardiovascular imaging: A review
Importance Artificial intelligence (AI), driven by advances in deep learning (DL), has the
potential to reshape the field of cardiovascular imaging (CVI). While DL for CVI is still in its …
potential to reshape the field of cardiovascular imaging (CVI). While DL for CVI is still in its …
Designing clinically translatable artificial intelligence systems for high-dimensional medical imaging
Abstract The National Institutes of Health in 2018 identified key focus areas for the future of
artificial intelligence in medical imaging, creating a foundational roadmap for research in …
artificial intelligence in medical imaging, creating a foundational roadmap for research in …
Medical professional enhancement using explainable artificial intelligence in fetal cardiac ultrasound screening
Diagnostic support tools based on artificial intelligence (AI) have exhibited high performance
in various medical fields. However, their clinical application remains challenging because of …
in various medical fields. However, their clinical application remains challenging because of …
Adopting artificial intelligence in cardiovascular medicine: A scoping review
H Makimoto, T Kohro - Hypertension Research, 2024 - nature.com
Recent years have witnessed significant transformations in cardiovascular medicine, driven
by the rapid evolution of artificial intelligence (AI). This scoping review was conducted to …
by the rapid evolution of artificial intelligence (AI). This scoping review was conducted to …
Deep learning-based prediction of right ventricular ejection fraction using 2D echocardiograms
Background Evidence has shown the independent prognostic value of right ventricular (RV)
function, even in patients with left-sided heart disease. The most widely used imaging …
function, even in patients with left-sided heart disease. The most widely used imaging …
Deep learning for transesophageal echocardiography view classification
Transesophageal echocardiography (TEE) imaging is a vital tool used in the evaluation of
complex cardiac pathology and the management of cardiac surgery patients. A key limitation …
complex cardiac pathology and the management of cardiac surgery patients. A key limitation …
Deep learning for echocardiography: Introduction for clinicians and future vision: State-of-the-art review
Exponential growth in data storage and computational power is rapidly narrowing the gap
between translating findings from advanced clinical informatics into cardiovascular clinical …
between translating findings from advanced clinical informatics into cardiovascular clinical …
Contemporary applications of machine learning for device therapy in heart failure
Despite a better understanding of the underlying pathogenesis of heart failure (HF),
pharmacotherapy, surgical, and percutaneous interventions do not prevent disease …
pharmacotherapy, surgical, and percutaneous interventions do not prevent disease …
The echocardiographic evaluation of the right heart: current and future advances
C O'Donnell, PA Sanchez, B Celestin… - Current Cardiology …, 2023 - Springer
Abstract Purpose of Review To discuss physiologic and methodologic advances in the
echocardiographic assessment of right heart (RH) function, including the emergence of …
echocardiographic assessment of right heart (RH) function, including the emergence of …
Identifying aortic stenosis with a single parasternal long-axis video using deep learning
W Dai, H Nazzari, M Namasivayam, J Hung… - Journal of the …, 2023 - onlinejase.com
The accurate diagnosis of aortic stenosis (AS) involves both the acquisition of cardiac
ultrasound images and the interpretation of these images by skilled personnel. 1 Access to …
ultrasound images and the interpretation of these images by skilled personnel. 1 Access to …