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ISMRM: AI developed to automatically detect MRI artifacts
TORONTO - Scientists at Philips have developed an AI algorithm called VitaLen...Read more on AuntMinnie.comRelated Reading: ISMRM: How can AI improve musculoskeletal MRI? 3D slice-to-volume MRI can 'see' fetal optic pathway Modified imaging technique visualizes teeth segmented from bone 7-minute MRI scan becomes viable option in acute stroke Can synthetic MRI replace conventional scans for brain imaging?
Source: AuntMinnie.com Headlines - June 5, 2023 Category: Radiology Source Type: news

A brain CT-based approach for predicting and analyzing stroke-associated pneumonia from intracerebral hemorrhage
DiscussionOur findings suggest that our method is effective in classifying the development of pneumonia based on brain CT scans. Furthermore, we identified distinct characteristics, such as volume and distribution, of ICH in four different types of SAP.
Source: Frontiers in Neurology - June 2, 2023 Category: Neurology Source Type: research

Predicting models for arm impairment: External validation of the Scandinavian models and identification of new predictors in post-acute stroke settings
CONCLUSION: Scandinavian item-level predictors are valid in a different context, finger mass flexion outperformed known predictors, days-to-admission predict discharge mild arm impairment.PMID:37248917 | DOI:10.3233/NRE-220233
Source: NeuroRehabilitation - May 30, 2023 Category: Rehabilitation Authors: Alejandro Garc ía-Rudolph Ignasi Soriano Helard Becerra Vince Istvan Madai Dietmar Frey Eloy Opisso Josep Mar ía Tormos Montserrat Bernabeu Source Type: research

Association of Arterial Stiffness and Atherosclerotic Burden With Brain Structural Changes Among Japanese Men
Conclusions Among Japanese men, higher arterial stiffness was associated with lower Alzheimer disease signature volumes, whereas higher atherosclerotic burden was associated with brain vascular damage. Arterial stiffness and atherosclerotic burden may be independently associated with brain structural changes via different pathways.PMID:37232267 | DOI:10.1161/JAHA.122.028586
Source: Atherosclerosis - May 26, 2023 Category: Cardiology Authors: Nazar M Azahar Yuichiro Yano Aya Kadota Akihiko Shiino Ali H Syaifullah Naoko Miyagawa Keiko Kondo Mohammad Moniruzzaman Sayuki Torii Hiroyoshi Segawa Takashi Hisamatsu Akira Fujiyoshi Kazuhiko Nozaki Ikuo Tooyama Hirotsugu Ueshima Katsuyuki Miura SESSA R Source Type: research

Optimization of collateral grading on computer tomography angiography
CONCLUSION: A dual-phase CTA is significantly similar to a mCTA assessment of collateral score and may be applied at community-based centers. Absolute or relative thresholds for torcula opacification may be used to identify poor bolus-scan timing thus preventing erroneous assumptions of poor collaterals on sCTA.PMID:37226428 | DOI:10.1177/15910199231176310
Source: Interventional Neuroradiology - May 25, 2023 Category: Radiology Authors: Leonardo Pisani Diogo C Haussen Mahmoud Mohammaden Catarina Perry da Camara Gabriel M Rodrigues Mehdi Bouslama Alhamza Al-Bayati Ranliang Hu Nicholas Bianchi Nirav Ravindra Bhatt Michael Frankel Raul G Nogueira Source Type: research

Scalp acupuncture regulates functional connectivity of cerebral hemispheres in patients with hemiplegia after stroke
ConclusionThe changes in functional connectivity between the cerebral cortex and basal ganglia in patients with cerebral infarction showed a weakening of the bilateral hemispheres and the enhancement of the connections between the hemispheres. Scalp acupuncture has the function of bidirectional regulation, which makes the unbalanced abnormal brain function state restore balance.
Source: Frontiers in Neurology - May 25, 2023 Category: Neurology Source Type: research

Using a CT Angiography Artificial Intelligence Carotid Plaque Morphology Model to Predict Stroke
The gold standard for determining carotid artery stenosis is to calculate stenosis using the North American Symptomatic Carotid Endarterectomy Trial criteria and ultimately plan for medical vs surgical management based on percent stenosis and symptomatic status. Few studies have assessed plaque morphology as an additive tool for stroke prediction. Our study uses an artificial intelligence software in conjunction with a patient's computed tomography (CT) scan of the neck to create a three-dimensional (3D) model of the carotid artery and assess plaque morphology including calcification, intraplaque hemorrhage, matrix, and pe...
Source: Journal of Vascular Surgery - May 23, 2023 Category: Surgery Authors: Rohini J. Patel, Daniel Willie-Permor, Sina Zarrintan, Austin Fan, Mahmoud Malas Tags: Poster Competition Source Type: research

Stroke and molecular imaging: a focus on FDG-PET
Am J Nucl Med Mol Imaging. 2023 Apr 25;13(2):51-63. eCollection 2023.ABSTRACTStroke is the leading cause of disability worldwide, the second most common cause of dementia and the third leading cause of death. Though the etiology of stroke has been explored extensively, there remains open questions in the scientific and clinical study of stroke. Traditional imaging techniques, such as magnetic resonance imaging and computed tomography, have been applied extensively and remain mainstays in clinical practice. Nevertheless, positron emission tomography has proven to be a powerful molecular imaging tool in exploring the scienti...
Source: Molecular Medicine - May 22, 2023 Category: Molecular Biology Authors: Cyrus Ayubcha Aamir Amanullah Krishna H Patel Eric Teichner Saket Gokhale Ulysses Marquez-Valenzuela Thomas J Werner Abass Alavi Source Type: research

Early identification and characterisation of stroke to support prehospital decision-making using artificial intelligence: a scoping review protocol
Introduction Stroke is a time-critical condition and one of the leading causes of mortality and disability worldwide. To decrease mortality and improve patient outcome by improving access to optimal treatment, there is an emerging need to improve the accuracy of the methods used to identify and characterise stroke in prehospital settings and emergency departments (EDs). This might be accomplished by developing computerised decision support systems (CDSSs) that are based on artificial intelligence (AI) and potential new data sources such as vital signs, biomarkers and image and video analysis. This scoping review aims to su...
Source: BMJ Open - May 22, 2023 Category: General Medicine Authors: Jalo, H., Seth, M., Pikkarainen, M., Häggström, I., Jood, K., Bakidou, A., Sjöqvist, B. A., Candefjord, S. Tags: Open access, Neurology Source Type: research