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Specialty: Radiology
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Total 224 results found since Jan 2013.
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
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
Deep-learning CT model effective for detecting head abnormalities
A deep-learning CT model can detect head abnormalities in 17 different regions...Read more on AuntMinnie.comRelated Reading:
Deep learning plus CT helps guide head and neck cancer treatment
Using AI with prior LDCT exams improves lung nodule risk assessment
Can AI body composition analysis predict mortality risk on LDCT?
AI plus CT improves cirrhosis prediction in liver disease patients
CT radiomics can help in predicting outcomes in stroke patients
Source: AuntMinnie.com Headlines - August 22, 2023 Category: Radiology Source Type: news
Development of a new body weight estimation method using head CT scout images
CONCLUSIONS: The presented new method is a potentially valuable support tool for medical staff, such as doctors and nurses, in estimating weight during emergency examinations for patients with acute conditions such as stroke when obtaining accurate weight measurements is not easily feasible.PMID:37545250 | DOI:10.3233/XST-230087
Source: Journal of X-Ray Science and Technology - August 7, 2023 Category: Radiology Authors: Tatsuya Kondo Manami Umezu Yohan Kondo Mitsuru Sato Tsutomu Kanazawa Yoshiyuki Noto Source Type: research
