Abstract

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Title:: Artificial intelligence in ASPECTS assessment of acute ischemic stroke: a review

Author(s):: FANG Ting1; YANG Yifeng1; JIA Shouqiang2; NIE Shengdong1; 1. Institute of Medical Imaging Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China 2. Department of Imaging, Jinan Peoples Hospital Affiliated to Shandong First Medical University, Jinan 271100, China

Keywords:: Keywords: Alberta stroke program early computed tomography score acute ischemic stroke artificial intelligence automatic scoring review

Abstract:: Abstract: The early diagnosis and timely intervention of acute ischemic stroke are of great significance to reduce the mortality and disability rate. Alberta stroke program early computed tomography score (ASPECTS) is currently used to assess the severity of acute ischemic stroke in clinic. The human evaluation is subjective and time-consuming, which is easy to lead to missed diagnosis and misdiagnosis. Therefore, many automatic ASPECTS methods based on artificial intelligence algorithms are emerging. The study briefly introduces the reliability of ASPECTS, focuses on the current methods of brain region extraction and brain region scoring based on artificial intelligence for confirming that computer-assisted ASPECTS can effectively improve the reliability of disease judgment, summarizes the existing problems, and discusses the development trends.