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    Home > Active Ingredient News > Study of Nervous System > Stroke: Machine learning yyds can accurately identify the occlusion of large vessels in stroke patients!

    Stroke: Machine learning yyds can accurately identify the occlusion of large vessels in stroke patients!

    • Last Update: 2021-12-26
    • Source: Internet
    • Author: User
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    Machine learning is more than one field of cross-disciplinary, involving probability theory, statistical learning, approximation theory, convex analysis, algorithmic complexity theory and other subjects
    .
    Specializing in the study of how computers simulate or realize human learning behaviors in order to acquire new knowledge or skills, and reorganize the existing knowledge structure to continuously improve its own performance


    .


    Statistics is the core of artificial intelligence and the fundamental way to make computers intelligent


    Stroke Clinic diagnosis

    Current research has shown that the pre-hospital automatic large vessel occlusion (LVO) test of MSU can accelerate the identification and treatment of patients with acute ischemic stroke with LVO
    .
    Here, experts from the Department of Neurology at UTHealth McGovern School of Medicine evaluated the performance of a machine learning (ML) model to detect LVO on CT angiography (CTA) obtained from 2 MSUs


    .


    MSU's pre-hospital automatic large vessel occlusion (LVO) test can accelerate the identification and treatment of patients with acute ischemic stroke with LVO


    The researchers identified patients with out-of-hospital CTA evaluated at MSU in Houston and Los Angeles


    .


    The results showed that of the 68 out-of-hospital MSU CTA patients, 40% had LVO
    .
    The most common occlusion location is the middle cerebral artery M1 segment (59%), followed by the internal carotid artery (30%), and the middle cerebral artery M2 (11%)


    .


    The median time from onset to CTA imaging was 88.


    After training 870 in-hospital CTAs, the ML model performed well in a separate in-hospital data set that recognized 441 images, and the area under the receiver operating curve was 0.


    In summary, in this study of evaluating patients with MSU in two cities, an ML algorithm can use pre-hospital CTA collection to accurately and quickly detect LVO


    .


    In summary, in this study of evaluating patients with MSU in two cities, an ML algorithm can use pre-hospital CTA collection to accurately and quickly detect LVO


    references:

    Machine Learning Automated Detection of Large Vessel Occlusion From Mobile Stroke Unit Computed Tomography Angiography.


    Stroke.
    2021;0:STROKEAHA.
    121.
    036091.
    https://doi.
    org/10.
    1161/STROKEAHA.
    121.
    036091

    Machine Learning Automated Detection of Large Vessel Occlusion From Mobile Stroke Unit Computed Tomography Angiography.
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