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Total 224 results found since Jan 2013.

Subtraction technique improves heart stenosis diagnosis on CCTA
Using subtraction coronary CT angiography (CCTA) boosts diagnostic accurac...Read more on AuntMinnie.comRelated Reading: SCCT offers CCTA guidelines for patients with acute chest pain AI spots large vessel occlusions, predicts patient outcome Deep-learning reconstruction, subtraction spots in-stent restenosis Photon-counting CT improves image quality of coronary CTA CT angio offers late thrombectomy option to stroke patients
Source: AuntMinnie.com Headlines - January 4, 2023 Category: Radiology Source Type: news

Ischemic stroke subtyping method combining convolutional neural network and radiomics
CONCLUSION: The experimental results show that the proposed method can effectively predict the subtype of IS and has potential to assist doctors in making timely and accurate diagnoses of IS patients.PMID:36591693 | DOI:10.3233/XST-221284
Source: Journal of X-Ray Science and Technology - January 2, 2023 Category: Radiology Authors: Yang Chen Yiwen He Zhuoyun Jiang Yuanzhong Xie Shengdong Nie Source Type: research

Automated estimation of ischemic core volume on noncontrast-enhanced CT via machine learning
CONCLUSION: The ischemic core volumes calculated by the described ML approach on NCCT approximate those obtained by MRI in patients with AIS who present beyond 1 hour from stroke onset.PMID:36572984 | DOI:10.1177/15910199221145487
Source: Interventional Neuroradiology - December 27, 2022 Category: Radiology Authors: Iris E Chen Brian Tsui Haoyue Zhang Joe X Qiao William Hsu May Nour Noriko Salamon Luke Ledbetter Jennifer Polson Corey Arnold Mersedeh BahrHossieni Reza Jahan Gary Duckwiler Jeffrey Saver David Liebeskind Kambiz Nael Source Type: research

Prediction of incident cardiovascular events using machine learning and CMR radiomics
ConclusionsRadiomics features may provide incremental predictive value over VRF and CMR indices in the prediction of incident CVDs.Key Points•Prediction of incident atrial fibrillation, heart failure, stroke, and myocardial infarction using machine learning techniques.•CMR radiomics, vascular risk factors, and standard CMR indices will be considered in the machine learning models.•The experiments show that radiomics features can provide incremental predictive value over VRF and CMR indices in the prediction of incident cardiovascular diseases.
Source: European Radiology - December 13, 2022 Category: Radiology Source Type: research

Deep learning based on carotid transverse B-mode scan videos for the diagnosis of carotid plaque: a prospective multicenter study
ConclusionsThe DL model based on US videos corresponding to real examinations showed robust performance for plaque detection and significantly improved the diagnostic performance of junior radiologists.Key Points• The deep learning model based on US videos conforming to real examinations showed robust performance for plaque detection.• Computer-aided diagnosis can significantly improve the diagnostic performance of junior radiologists in clinical practice.
Source: European Radiology - December 13, 2022 Category: Radiology Source Type: research

Improving the diagnosis of acute ischemic stroke on non-contrast CT using deep learning: a multicenter study
ConclusionsWith the assistance of our proposed DL model, radiologists got better performance in the detection of AIS lesions on NCCT.
Source: Insights into Imaging - December 6, 2022 Category: Radiology Source Type: research

Deep learning prediction of stroke thrombus red blood cell content from multiparametric MRI
CONCLUSIONS: The CNN was able to accurately predict thrombus RBC content using multiparametric MR images, and could provide a means to guide treatment strategy in acute ischemic stroke.PMID:36437762 | DOI:10.1177/15910199221140962
Source: Interventional Neuroradiology - November 28, 2022 Category: Radiology Authors: Spencer D Christiansen Junmin Liu Maria Bres Bullrich Manas Sharma Melfort Boulton Sachin K Pandey Luciano A Sposato Maria Drangova Source Type: research

Machine-learning algorithm in acute stroke: real-world experience
To assess the clinical performance of a commercially available machine learning (ML) algorithm in acute stroke.
Source: Clinical Radiology - November 18, 2022 Category: Radiology Authors: N. Chan, N. Sibtain, T. Booth, P. de Souza, S. Bibby, Y.-H. Mah, J. Teo, J.M. U-King-Im Source Type: research