• Filter By:
• Specialty
• Source
• Condition
• Cancer
• Infectious Disease
• Drug
• Training
• Management
• Procedure
• Therapy
• Vaccine
• Nutrition
• Country

First experience of international proctoring hands-on stroke course using Tegus telemedical system for overcoming education challenges during the war in Ukraine
Interv Neuroradiol. 2023 Aug 9:15910199231193912. doi: 10.1177/15910199231193912. Online ahead of print.ABSTRACTInterventional neuroradiology (INR) has not yet received official certification as a surgical subspecialty in Ukraine. Consequently, there is uncertainty surrounding the availability of a neurosurgical internship and a structured INR training program to provide neuroendovascular procedures. In recent years, mechanical thrombectomy has become the standard of care for acute ischemic stroke caused by large vessel occlusion, as supported by evidence-based guidelines. This emphasizes the need for INR specialists, whic...
Source: Interventional Neuroradiology - August 10, 2023 Category: Radiology Authors: Dmytro Shchehlov Jens Fiehler Mykola Vyval Anna A Kyselyova Source Type: research

Interpretable machine learning for predicting 28-day all-cause in-hospital mortality for hypertensive ischemic or hemorrhagic stroke patients in the ICU: a multi-center retrospective cohort study with internal and external cross-validation
ConclusionsThe XGBoost model accurately predicted 28-day all-cause in-hospital mortality among hypertensive ischemic or hemorrhagic stroke patients admitted to the ICU. The SHAP method can provide explicit explanations of personalized risk prediction, which can aid physicians in understanding the model.
Source: Frontiers in Neurology - August 8, 2023 Category: Neurology Source Type: research

P-008 Probabilistic ensemble learning for prediction of stroke thrombectomy outcomes from the neurovascular quality initiative-quality outcomes database (NVQI-QOD) registry
ConclusionsThis study demonstrates the utility of probabilistic ensemble learning in clinical decision-making and prognosis. It can provide robust predictions as well as quantify data uncertainty. Our results regarding NIHSS changes reinforce the substantial benefits of MT, that can improve outcomes in nearly half of patients. The degree of disability relevant to the 90-day follow-up mRS can be determined by probabilistic learning available as early as discharge.Disclosures C. Zhou: None. S. Faruqui: None. A. Patel: None. R. Abdalla: None. A. Shaibani: None. M. Potts: None. B. Jahromi: None. S. Ansari: None. D. Cantrell: None.
Source: Journal of NeuroInterventional Surgery - July 30, 2023 Category: Neurosurgery Authors: Zhou, C., Faruqui, S., Patel, A., Abdalla, R., Shaibani, A., Potts, M., Jahromi, B., Ansari, S., Cantrell, D. Tags: SNIS 20th annual meeting oral poster abstracts Source Type: research

A case of pure apraxia of speech after left hemisphere stroke: behavioral findings and neural correlates
DiscussionThis pure case of severe AOS without aphasia affords a unique window into the behavioral and neural mechanisms of this motor speech disorder. The current findings support previous observations that AOS and aphasia are dissociable and confirm a role for the precentral gyrus of the insula and BA44, as well as underlying white matter in supporting the coordination of complex articulatory movements. Additionally, other regions including the precentral gyrus, Broca’s area, and Area 55b are discussed regarding their potential role in successful speech production.
Source: Frontiers in Neurology - July 27, 2023 Category: Neurology Source Type: research

An interpretable machine learning-based prediction model for risk of death for patients with ischemic stroke in intensive care unit
CONCLUSION: This EBM model has a good performance for predicting the risk of death within one year in patients with severe ischemic stroke and allows clinicians to better understand the contributing factors of the patients' outcomes through the model interpretability.PMID:37488807 | PMC:PMC10366517 | DOI:10.12122/j.issn.1673-4254.2023.07.21
Source: Journal of Southern Medical University - July 25, 2023 Category: Universities & Medical Training Authors: X Luo Y Cheng C Wu J He Source Type: research

Pages: 1  2  3  4  5  6  7  8  9  10  11  12  13  14  15  16  17  18  19  20