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Total 258 results found since Jan 2013.
Detection of early infarction signs with machine learning-based diagnosis by means of the Alberta Stroke Program Early CT score (ASPECTS) in the clinical routine
ConclusionFor ASPECTS assessment, the examined software may provide valid data in case of normal brain. It may enhance the work of neuroradiologists in clinical decision making. A final human check for plausibility is needed, particularly in patient groups with pre-existing cerebral changes.
Source: Neuroradiology - July 31, 2018 Category: Radiology Source Type: research
Collateral Automation for Triage in Stroke: Evaluating Automated Scoring of Collaterals in Acute Stroke on Computed Tomography Scans
In conclusion, e-CTA provides a real-time and fully automated approach to collateral scoring with the potential to improve consistency of image interpretation and to independently quantify collateral scores even without expert rater input.Cerebrovasc Dis
Source: Cerebrovascular Diseases - June 19, 2019 Category: Neurology Source Type: research
The Relationship between Altered Degree Centrality and Cognitive Function in Mild Subcortical Stroke: A Resting-State fMRI Study
CONCLUSIONS: DC values were increased in the right PhG following a mild subcortical stroke. DC values in the PhG were negatively correlated with cognitive function, which may indicate brain nodes reorganization.PMID:36265670 | DOI:10.1016/j.brainres.2022.148125
Source: Brain Research - October 20, 2022 Category: Neurology Authors: Yan Min Chang Liu Lijun Zuo Yongjun Wang Zixiao Li Source Type: research
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
Stroke risk study based on deep learning-based magnetic resonance imaging carotid plaque automatic segmentation algorithm
CONCLUSION: The evaluations in this work have demonstrated that this methodology produces acceptable results for classifying magnetic resonance imaging (MRI) data.PMID:36910524 | PMC:PMC9998982 | DOI:10.3389/fcvm.2023.1101765
Source: Atherosclerosis - March 13, 2023 Category: Cardiology Authors: Ya-Fang Chen Zhen-Jie Chen You-Yu Lin Zhi-Qiang Lin Chun-Nuan Chen Mei-Li Yang Jin-Yin Zhang Yuan-Zhe Li Yi Wang Yin-Hui Huang Source Type: research
Keeping up with Amanda: Life after brain surgery
In most ways, Amanda LePage is just like any other rambunctious fourth grader. She loves school, dance class, playing basketball and keeping up with her twin sister Macy and older brother Nathan. Sometimes it just takes her a little longer to do these everyday things. That’s because Amanda has been through a lot in her short nine years.
Amanda was just 5 months old when she was brought by helicopter to Boston Children’s Hospital for a hemorrhage in her brain from an intracranial aneurysm, a type of vascular malformation. Despite long odds, Amanda survived two life-saving brain surgeries and a massive stroke that left ...
Source: Thrive, Children's Hospital Boston - May 22, 2017 Category: Pediatrics Authors: Ellen Greenlaw Tags: Our Patients’ Stories brain aneurysm Dr. Caroline Robson Dr. Craig McClain Dr. Edward Smith Dr. Peter Manley Hydrocephalus low-grade glioma pediatric stroke Source Type: news
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
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
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Stroke scans drop by 40% during COVID-19 outbreak
Source: AuntMinnie.com Headlines - July 28, 2020 Category: Radiology Source Type: news
Cardiovascular/stroke risk prevention: A new machine learning framework integrating carotid ultrasound image-based phenotypes and its harmonics with conventional risk factors.
CONCLUSION: The AtheroRisk-integrated ML system outperforms the AtheroRisk-conventional ML system using RF classifier.
PMID: 32861380 [PubMed - in process]
Source: Indian Heart J - June 30, 2020 Category: Cardiology Authors: Jamthikar A, Gupta D, Khanna NN, Saba L, Laird JR, Suri JS Tags: Indian Heart J Source Type: research
