Filtered By:
Specialty: Radiology
Education: Learning
This page shows you your search results in order of relevance. This is page number 14.
Order by Relevance | Date
Total 224 results found since Jan 2013.
Clinical Artificial Intelligence Applications in Radiology: Neuro
This article illustrates some of these applications. This article reviews machine learning challenges related to neuroradiology. The first approval of reimbursement for an AI algorithm by the Centers for Medicare and Medicaid Services, covering a stroke software for early detection of large vessel occlusion, is also discussed.PMID:34689869 | DOI:10.1016/j.rcl.2021.07.002
Source: Radiologic Clinics of North America - October 25, 2021 Category: Radiology Authors: Felipe Campos Kitamura Ian Pan Suely Fazio Ferraciolli Kristen W Yeom Nitamar Abdala Source Type: research
Robotically-assisted neuro-endovascular procedures: Single-Center Experience and a Review of the Literature
CONCLUSIONS: This series may contribute to further demonstrating the safety and feasibility of RANPs. RANPs can potentially reduce radiation exposure and physical burden for health personnel, expand acute cerebrovascular treatment to underserved areas, and enhance telementoring. Prospective studies are necessary for results to be generalized.PMID:35296166 | DOI:10.1177/15910199221082475
Source: Interventional Neuroradiology - March 17, 2022 Category: Radiology Authors: Matias Costa Zachary Tataryn Abdullah Alobaid Clifford Pierre Mohammed Basamh Mohamed Somji Yince Loh Akshal Patel Stephen Monteith Source Type: research
NaF-PET reveals aortic wall injuries
PET imaging with F-18 sodium fluoride (NaF) can detect activity related to tear...Read more on AuntMinnie.comRelated Reading:
NaF-PET scans reveal plaque -- and possible risk of stroke
Viz.ai to add Avicenna.ai software to platform
NaF-PET/CT does well in detecting prostate metastases
NaF-PET/CT rarely finds prostate cancer bone metastases
Can deep learning monitor lesions on F-18 NaF PET/CT?
Source: AuntMinnie.com Headlines - March 22, 2022 Category: Radiology Source Type: news
Abstract No. 240 Automated outcome prediction in mechanical thrombectomy for acute large vessel ischemic stroke using 3D convolutional neural networks applied to CT angiography
Accurate prediction of clinical outcomes of acute large vessel occlusions (LVO) would lead to better patient selection and treatment planning for mechanical thrombectomy (MT). We developed a deep learning pipeline that predicts thrombectomy passes, immediate perfusion quality via the Thrombolysis in Cerebral Infarction (TICI) score and functional outcome via the 30-day modified Rankin Scale (mRS).
Source: Journal of Vascular and Interventional Radiology : JVIR - June 1, 2022 Category: Radiology Authors: L. Tran, S. Meng, P. Wang, I. Pan, T. Yi, R. Wang, Z. Jiao, H. Bai Source Type: research
FReSCO: Flow Reconstruction and Segmentation for low-latency Cardiac Output monitoring using deep artifact suppression and segmentation
CONCLUSIONS: The FReSCO framework was successfully demonstrated for real-time monitoring of CO during exercise and could provide a convenient tool for assessment of the hemodynamic response to a range of stressors.PMID:35781891 | DOI:10.1002/mrm.29374
Source: Magnetic Resonance in Medicine - July 5, 2022 Category: Radiology Authors: Olivier Jaubert Javier Montalt-Tordera James Brown Daniel Knight Simon Arridge Jennifer Steeden Vivek Muthurangu Source Type: research
