Radiogenomics and artificial intelligence approaches applied to cardiac computed tomography angiography and cardiac magnetic resonance for precision medicine …
T Infante, C Cavaliere, B Punzo, V Grimaldi… - Circulation …, 2021 - Am Heart Assoc
The risk of coronary heart disease (CHD) clinical manifestations and patient management is
estimated according to risk scores accounting multifactorial risk factors, thus failing to cover …
estimated according to risk scores accounting multifactorial risk factors, thus failing to cover …
Artificial intelligence in diagnostic radiology: where do we stand, challenges, and opportunities
Artificial intelligence (AI) is the most revolutionizing development in the health care industry
in the current decade, with diagnostic imaging having the greatest share in such …
in the current decade, with diagnostic imaging having the greatest share in such …
[HTML][HTML] RF-CNN-F: random forest with convolutional neural network features for coronary artery disease diagnosis based on cardiac magnetic resonance
Coronary artery disease (CAD) is a prevalent disease with high morbidity and mortality
rates. Invasive coronary angiography is the reference standard for diagnosing CAD but is …
rates. Invasive coronary angiography is the reference standard for diagnosing CAD but is …
Automatic coronary calcium scoring in chest CT using a deep neural network in direct comparison with non-contrast cardiac CT: A validation study
M van Assen, SS Martin, A Varga-Szemes… - European journal of …, 2021 - Elsevier
Purpose To evaluate deep-learning based calcium quantification on Chest CT scans
compared with manual evaluation, and to enable interpretation in terms of the traditional …
compared with manual evaluation, and to enable interpretation in terms of the traditional …
[PDF][PDF] Application of AI in cardiovascular multimodality imaging
Technical advances in artificial intelligence (AI) in cardiac imaging are rapidly improving the
reproducibility of this approach and the possibility to reduce time necessary to generate a …
reproducibility of this approach and the possibility to reduce time necessary to generate a …
Deep learning for vessel-specific coronary artery calcium scoring: validation on a multi-centre dataset
Aims To present and validate a fully automated, deep learning (DL)-based branch-wise
coronary artery calcium (CAC) scoring algorithm on a multi-centre dataset. Methods and …
coronary artery calcium (CAC) scoring algorithm on a multi-centre dataset. Methods and …
Machine learning and coronary artery calcium scoring
Abstract Purpose of Review To summarize current artificial intelligence (AI)-based
applications for coronary artery calcium scoring (CACS) and their potential clinical impact …
applications for coronary artery calcium scoring (CACS) and their potential clinical impact …
Artificial intelligence in coronary artery calcium measurement: Barriers and solutions for implementation into daily practice
T Yamaoka, S Watanabe - European Journal of Radiology, 2023 - Elsevier
Coronary artery calcification (CAC) measurement is a valuable predictor of cardiovascular
risk. However, its measurement can be time-consuming and complex, thus driving the desire …
risk. However, its measurement can be time-consuming and complex, thus driving the desire …
Ischemia and outcome prediction by cardiac CT based machine learning
V Brandt, T Emrich, UJ Schoepf, DM Dargis… - … International Journal of …, 2020 - Springer
Cardiac CT using non-enhanced coronary artery calcium scoring (CACS) and coronary CT
angiography (cCTA) has been proven to provide excellent evaluation of coronary artery …
angiography (cCTA) has been proven to provide excellent evaluation of coronary artery …
Performance of an artificial intelligence-based platform against clinical radiology reports for the evaluation of noncontrast chest CT
Rationale and Objectives Research on implementation of artificial intelligence (AI) in
radiology workflows and its impact on reports remains scarce. In this study, we aim to assess …
radiology workflows and its impact on reports remains scarce. In this study, we aim to assess …