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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

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

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

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

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

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

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

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

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

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

What Are the Complications of Sickle Cell Trait?
Discussion Sickle cell disease (SCD) is a group of inherited blood disorders where there are abnormal hemoglobin molecules and the red blood cells take on a characteristic sickled shape instead of a rounded shape. Sickled hemoglobin provides an evolutionary advantage of giving the individual increased protection against severe and cerebral malaria. The sickled shape doesn’t move through the vascular system as well and therefore is more likely to aggregate in small vessels causing an increased risk of vaso-occlusive disease, acute chest syndrome, splenic sequestration, and priapism. There is also an increased risk of ...
Source: PediatricEducation.org - September 4, 2023 Category: Pediatrics Authors: Pediatric Education Tags: Uncategorized Source Type: news

Did interstellar debris fall to the sea floor? Claim meets sea of doubt
In 2014, a rock from space blazed through the atmosphere and exploded off the coast of Papua New Guinea with such ferociousness that some researchers believe the object came from beyond the Solar System. Now, a team of researchers says it has recovered remnants of the meteor from the floor of the Pacific Ocean and claims that a preliminary analysis of their unusual composition points to an origin around another star. Only in the past few years have astronomers realized that interstellar objects sometimes whizz through the Solar System and might even hit Earth. Finding a lump of rock from another planetary system would...
Source: Science of Aging Knowledge Environment - August 30, 2023 Category: Geriatrics Source Type: research

Artificial intelligence-based preventive, personalized and precision medicine for cardiovascular disease/stroke risk assessment in rheumatoid arthritis patients: a narrative review
Rheumatol Int. 2023 Aug 30. doi: 10.1007/s00296-023-05415-1. Online ahead of print.ABSTRACTThe challenges associated with diagnosing and treating cardiovascular disease (CVD)/Stroke in Rheumatoid arthritis (RA) arise from the delayed onset of symptoms. Existing clinical risk scores are inadequate in predicting cardiac events, and conventional risk factors alone do not accurately classify many individuals at risk. Several CVD biomarkers consider the multiple pathways involved in the development of atherosclerosis, which is the primary cause of CVD/Stroke in RA. To enhance the accuracy of CVD/Stroke risk assessment in the RA...
Source: Atherosclerosis - August 30, 2023 Category: Cardiology Authors: Mustafa Al-Maini Mahesh Maindarkar George D Kitas Narendra N Khanna Durga Prasanna Misra Amer M Johri Laura Mantella Vikas Agarwal Aman Sharma Inder M Singh George Tsoulfas John R Laird Gavino Faa Jagjit Teji Monika Turk Klaudija Viskovic Zoltan Ruzsa Sop 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