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Source: Journal of Stroke and Cerebrovascular Diseases
Education: Learning
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Total 47 results found since Jan 2013.
Machine learning prediction of malignant middle cerebral artery infarction after mechanical thrombectomy for anterior circulation large vessel occlusion
Prediction of malignant middle cerebral artery infarction (MMI) could identify patients for early intervention. We trained and internally validated a ML model that predicts MMI following mechanical thrombectomy (MT) for ACLVO.
Source: Journal of Stroke and Cerebrovascular Diseases - January 16, 2023 Category: Neurology Authors: Haydn Hoffman, Jacob S. Wood, John R. Cote, Muhammad S. Jalal, Hesham E. Masoud, Grahame C. Gould Source Type: research
Machine learning-based identification of symptomatic carotid atherosclerotic plaques with dual-energy computed tomography angiography
This study aimed to develop and validate a machine learning model incorporating both dual-energy computed tomography (DECT) angiography quantitative parameters and clinically relevant risk factors for the identification of symptomatic carotid plaques to prevent acute cerebrovascular events.
Source: Journal of Stroke and Cerebrovascular Diseases - June 7, 2023 Category: Neurology Authors: Ling-Jie Wang, Pei-Qing Zhai, Li-Li Xue, Cai-Yun Shi, Qian Zhang, Hua Zhang Source Type: research
