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Specialty: Radiology
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Total 224 results found since Jan 2013.
Machine learning-based approach reveals essential features for simplified TSPO PET quantification in ischemic stroke patients
CONCLUSION: Reliable TSPO PET quantification is achievable by using a single late PET frame divided by a late blood sample activity concentration.PMID:36682921 | DOI:10.1016/j.zemedi.2022.11.008
Source: Zeitschrift fur Medizinische Physik - January 22, 2023 Category: Radiology Authors: Artem Zatcepin Anna Kopczak Adrien Holzgreve Sandra Hein Andreas Schindler Marco Duering Lena Kaiser Simon Lindner Martin Schidlowski Peter Bartenstein Nathalie Albert Matthias Brendel Sibylle I Ziegler Source Type: research
Virtual reality simulation training in stroke thrombectomy centers with limited patient volume-Simulator performance and patient outcome
CONCLUSION: Performance on the virtual reality simulator improved after training. Virtual reality simulation may improve the learning curve for interventional radiologists in limited-volume thrombectomy centers. No correlation alleged, the clinical data indicates that the centers studied performed thrombectomy in accordance with guideline-recommended standards.PMID:37670718 | DOI:10.1177/15910199231198275
Source: Interventional Neuroradiology - September 6, 2023 Category: Radiology Authors: Olav S øvik Arnstein Tveiten Halvor Øygarden P ål Johan Stokkeland Hanne Brit Hetland Magnus Sundgot Schneider Knut Olav Sandve Marianne Altmann Dan Levi Hykkerud Johanna Ospel Mayank Goyal Hege Langli Ersdal Martin Wilhelm Kurz Per Kristian Hyldmo Source Type: research
Comparison of Automated and Visual DWI ASPECTS in Acute Ischemic Stroke
Conclusions: Agreement values are on the same order or higher compared to a literature review of CT-based ASPECTS. Automated methods perform slightly worse than human expert ratings, but they still have enough power to determine the DWI-ASPECTS with good precision in a clinical setting.
Source: Journal of Neuroradiology - March 9, 2019 Category: Radiology Source Type: research
DWI-MRI predicts stroke recurrence in low-risk patients
A diffusion-weighted MRI (DWI-MRI) brain sequence can confirm the presence...Read more on AuntMinnie.comRelated Reading:
Deep-learning model detects cerebral microbleeds on MRI
MRI measurements of iron content show impact of stroke
Deep-learning MRI algorithm aids in neurological diagnoses
Key MRI markers link vascular brain injury to health risks
MRI links lifestyle factors to stroke, dementia risk
Source: AuntMinnie.com Headlines - September 24, 2019 Category: Radiology Source Type: news
Development of a deep learning model to identify hyperdense MCA sign in patients with acute ischemic stroke
ConclusionThe deep learning method appears potentially beneficial for identifying HMCAS on non-contrast CT in patients with acute ischemic stroke.
Source: Japanese Journal of Radiology - October 30, 2019 Category: Radiology Source Type: research
Deep Learning Predicts Stroke-Lesion Changes at 1 Week Deep Learning Predicts Stroke-Lesion Changes at 1 Week
Armed with only baseline MRI findings, a new deep learning algorithm may accurately estimate size and location of acute stroke lesions at 3 to 7 days.Medscape Medical News
Source: Medscape Radiology Headlines - March 20, 2020 Category: Radiology Tags: Neurology & Neurosurgery News Source Type: news
AI, radiomics can predict stroke treatment success
Artificial intelligence (AI) and radiomics can help to predict if a particular...Read more on AuntMinnie.comRelated Reading:
ECR 2020: COVID-19's nonpulmonary manifestations
COVID-19 neuro findings marked by mental status, stroke
fMRI-based machine learning helps predict coma outcomes
Stroke scans drop by 40% during COVID-19 outbreak
Source: AuntMinnie.com Headlines - July 28, 2020 Category: Radiology Source Type: news
A Review on Joint Carotid Intima-Media Thickness and Plaque Area Measurement in Ultrasound for Cardiovascular/Stroke Risk Monitoring: Artificial Intelligence Framework
This study reviews the modern and automated methods such as artificial intelligence (AI)-based. Machine learning (ML) and deep learning (DL) can provide automated techniques in the detection and measurement of cIMT and PA from carotid vascular images. Both ML and DL techniques are examples of supervised learning, i.e., learn from “ground truth” images and transformation of test images that are not part of the training. This review summarizes (1) the evolution and impact of the fast-changing AI technology on cIMT/PA measurement, (2) the mathematical representations of ML/DL methods, and (3) segmentation approaches for c...
Source: Journal of Digital Imaging - June 2, 2021 Category: Radiology Source Type: research
Tissue at Risk and Ischemic Core Estimation Using Deep Learning in Acute Stroke FUNCTIONAL
CONCLUSIONS:
Deep learning models with fine-tuning lead to better performance for predicting tissue at risk and ischemic core, outperforming conventional thresholding methods.
Source: American Journal of Neuroradiology - June 10, 2021 Category: Radiology Authors: Yu, Y., Xie, Y., Thamm, T., Gong, E., Ouyang, J., Christensen, S., Marks, M. P., Lansberg, M. G., Albers, G. W., Zaharchuk, G. Tags: FUNCTIONAL Source Type: research
LVO stroke patients benefit from going directly to angiography suite
Patients with suspected large vessel occlusion (LVO) stroke can have bette...Read more on AuntMinnie.comRelated Reading:
Can radiology AI win with a bad hand?
Machine learning helps find vessel occlusions on CTA
Algorithm detects LVO stroke on multiphase CTA
Will Medicare reimbursement propel radiology AI market?
COVID-19 associated with large vessel strokes
Source: AuntMinnie.com Headlines - August 2, 2021 Category: Radiology Source Type: news
Report: reimbursement drives adoption of AI software for stroke
The start in 2020 of Medicare payments for artificial intelligence (AI) softwar...Read more on AuntMinnie.comRelated Reading:
CMS renews reimbursements for Viz.ai stroke AI software
LVO stroke patients benefit from going directly to angiography suite
Can radiology AI win with a bad hand?
How can radiologists benefit from AI in 2021?
Machine learning helps find vessel occlusions on CTA
Source: AuntMinnie.com Headlines - November 16, 2021 Category: Radiology Source Type: news
