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Condition: Ischemic Stroke
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Total 959 results found since Jan 2013.

A typology of cerebral small vessel disease based on imaging markers
ConclusionThe study confirmed the existence of different SVD types with different relationships to stroke outcome. EPVS and WMH were identified as imaging features of presumably early progression. The number of microbleeds and WMH severity appear to be promising biomarkers for distinguishing clinical subgroups. Further understanding of SVD progression might require consideration of refined SVD features, e.g., for EPVS and type of lacunes.
Source: Journal of Neurology - September 20, 2023 Category: Neurology Source Type: research

Regarding "Automated Segmentation of Intracranial Thrombus on NCCT and CTA in Patients with Acute Ischemic Stroke Using a Coarse-to-Fine Deep Learning Model" letter
Source: American Journal of Neuroradiology - September 11, 2023 Category: Radiology Authors: Tortora, M., Pacchiano, F. Tags: letter Source Type: research

Cardiac disease prediction using AI algorithms with SelectKBest
AbstractAtherosclerotic cardiovascular disease (ASCVD), which includes coronary heart disease (CHD) and ischemic stroke, is the leading cause of mortality globally. According to the European Society of Cardiology (ESC), 26 million people worldwide have heart disease, with 3.6 million diagnosed each year. Early detection of heart disease will aid in lowering the mortality rate. The lack of diversity in training data and the difficulty in comprehending the findings of complicated AI models are the key issues in current research for heart disease prediction using artificial intelligence. To overcome this, in this paper, cardi...
Source: Medical and Biological Engineering and Computing - September 8, 2023 Category: Biomedical Engineering Source Type: research

Starting Pediatric VAD Program: Transforming Challenges into Opportunities; A Case Series of a Single Center
CONCLUSIONS: To establish a VAD program, numerous specialties must be included with adequate training and learning for all team members.PMID:37679088 | DOI:10.59958/hsf.5545
Source: The Heart Surgery Forum - September 7, 2023 Category: Cardiovascular & Thoracic Surgery Authors: Matija Bako š Milivoj Novak Dalibor Šarić Dorotea Bartoni ček Dra žen Belina Željko Đurić Darko Ani ć Željko Čolak Sanja Konosi ć Marina Mihalec Filip Rubi ć Toni Mati ć Goran Me đimurec Mislav Planinc Source Type: research

Interpretable machine learning for prediction of clinical outcomes in acute ischemic stroke
ConclusionML algorithms demonstrated proficient prediction for the 3-month functional outcome in AIS patients. With the aid of the SHAP method, we can attain an in-depth understanding of how critical features contribute to model predictions and how changes in these features influence such predictions.
Source: Frontiers in Neurology - September 7, 2023 Category: Neurology Source Type: research

Role of artificial intelligence and machine learning in the diagnosis of cerebrovascular disease
ConclusionThe implementation of AI and ML algorithms to supplement clinical practice has conferred a high degree of accuracy, efficiency, and expedited detection in the clinical and radiographic evaluation and management of ischemic and hemorrhagic strokes, AVMs, and aneurysms. Such algorithms have been explored for further purposes of prognostication for these conditions, with promising preliminary results. Further studies should evaluate the longitudinal implementation of such techniques into hospital networks and residency programs to supplement clinical practice, and the extent to which these techniques improve patient...
Source: Frontiers in Human Neuroscience - September 7, 2023 Category: Neuroscience Source Type: research

Machine learning based prediction of length of stay in acute ischaemic stroke of the anterior circulation in patients treated with thrombectomy
CONCLUSION: Machine learning has potential use to estimate the length of stay of patients with acute ischaemic stroke that were treated with thrombectomy.PMID:37671446 | DOI:10.1177/15910199231197615
Source: Interventional Neuroradiology - September 6, 2023 Category: Radiology Authors: Ludger Feyen Jan Pinz-Bogesits Christian Blockhaus Marcus Katoh Patrick Haage Louisa Nitsch Christina Schaub Source Type: research

Preprocedural determination of an occlusion pathomechanism in endovascular treatment of acute stroke: a machine learning-based decision
Conclusions An ML-PM could accurately determine an occlusion pathomechanism with common preprocedural findings. A decision flowchart consisting of the four most influential findings was clinically applicable and superior to single common preprocedural findings for determining an occlusion pathomechanism.
Source: Journal of NeuroInterventional Surgery - August 29, 2023 Category: Neurosurgery Authors: Baek, J.-H., Kim, B. M., Kim, D. J., Heo, J. H., Nam, H. S., Kim, Y. D., Rho, M. H., Chung, P.-W., Won, Y. S., Chung, Y. Tags: Ischemic stroke Source Type: research

Na ïve bayes classifier assisted automated detection of cerebral microbleeds in SWI brain images
Biochem Cell Biol. 2023 Aug 28. doi: 10.1139/bcb-2023-0156. Online ahead of print.ABSTRACTCerebral Microbleeds (CMBs) in the brain are the essential indicators of critical brain disorders such as dementia and ischemic stroke. Generally, CMBs are detected manually by experts which is an exhaustive task with limited productivity. Since, CMBs have complex morphological nature, so manual detection is prone to errors. This paper presents a machine learning-based automated Cerebral Microbleeds detection technique in the brain SWI scans based on statistical feature extraction and classification. The proposed method consists of th...
Source: Biochemistry and Cell Biology - August 28, 2023 Category: Biochemistry Authors: Tayyab Ateeq Zaid Bin Faheem Mohamed Ghoneimy Dr Jehad Ali PhD Computer Engineering Yang Li Abdullah Baz Source Type: research