Artificial intelligence in cardiac computed tomography
AA Aromiwura, T Settle, M Umer, J Joshi… - Progress in …, 2023 - Elsevier
Artificial Intelligence (AI) is a broad discipline of computer science and engineering. Modern
application of AI encompasses intelligent models and algorithms for automated data …
application of AI encompasses intelligent models and algorithms for automated data …
Current and future applications of artificial intelligence in coronary artery disease
Cardiovascular diseases (CVDs) carry significant morbidity and mortality and are associated
with substantial economic burden on healthcare systems around the world. Coronary artery …
with substantial economic burden on healthcare systems around the world. Coronary artery …
Semi-supervised segmentation of echocardiography videos via noise-resilient spatiotemporal semantic calibration and fusion
H Wu, J Liu, F **ao, Z Wen, L Cheng, J Qin - Medical Image Analysis, 2022 - Elsevier
We present a novel model for left ventricle endocardium segmentation from
echocardiography video, which is of great significance in clinical practice and yet a …
echocardiography video, which is of great significance in clinical practice and yet a …
Deep learning approach for the segmentation of aneurysmal ascending aorta
Diagnosis of ascending thoracic aortic aneurysm (ATAA) is based on the measurement of
the maximum aortic diameter, but size is not a good predictor of the risk of adverse events …
the maximum aortic diameter, but size is not a good predictor of the risk of adverse events …
Automatic detection of atherosclerotic plaque and calcification from intravascular ultrasound images by using deep convolutional neural networks
YC Li, TY Shen, CC Chen, WT Chang… - IEEE transactions on …, 2021 - ieeexplore.ieee.org
Atherosclerosis is the major cause of cardiovascular diseases (CVDs). Intravascular
ultrasound (IVUS) is a common imaging modality for diagnosing CVDs. However, an …
ultrasound (IVUS) is a common imaging modality for diagnosing CVDs. However, an …
The role of artificial intelligence in cardiovascular imaging: state of the art review
K Seetharam, D Brito, PD Farjo… - Frontiers in …, 2020 - frontiersin.org
In this current digital landscape, artificial intelligence (AI) has established itself as a powerful
tool in the commercial industry and is an evolving technology in healthcare. Cutting-edge …
tool in the commercial industry and is an evolving technology in healthcare. Cutting-edge …
A descriptive framework for the field of deep learning applications in medical images
Deep learning in medical image analysis is a typical interdisciplinary application, which
needs support and cooperation of computer techniques and medical experience, and has …
needs support and cooperation of computer techniques and medical experience, and has …
AI-assisted echocardiographic prescreening of heart failure with preserved ejection fraction on the basis of intrabeat dynamics
YA Chiou, CL Hung, SF Lin - Cardiovascular Imaging, 2021 - jacc.org
Objectives The aim of this study was to establish a rapid prescreening tool for heart failure
with preserved ejection fraction (HFpEF) by using artificial intelligence (AI) techniques to …
with preserved ejection fraction (HFpEF) by using artificial intelligence (AI) techniques to …
Automatic delineation of cardiac substructures using a region‐based fully convolutional network
Purpose Radiation dose to specific cardiac substructures, such as the atria and ventricles,
has been linked to post‐treatment toxicity and has shown to be more predictive of these …
has been linked to post‐treatment toxicity and has shown to be more predictive of these …
Artificial intelligence in cardiovascular CT: Current status and future implications
Artificial intelligence (AI) refers to the use of computational techniques to mimic human
thought processes and learning capacity. The past decade has seen a rapid proliferation of …
thought processes and learning capacity. The past decade has seen a rapid proliferation of …