e-ASPECTS在缺血性脑卒中早期发现和诊断中的应用

Haifa Touati, Boughariou Jihene, Sellemi Lamia, Ben Hamida Ahmed
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引用次数: 1

摘要

缺血性中风是导致人类死亡和残疾的主要原因之一。因此,中风的早期诊断对患者的生存至关重要,对神经内科医生来说仍然是一个挑战。电子阿尔伯塔卒中程序早期CT评分(e-ASPECTS)软件被神经内科医生广泛用于评估急性卒中治疗早期脑成像的缺血性改变程度。然而,尽管它的效率很高,但由于非对比计算机断层扫描,e-ASPECTS遭受了一些限制。本研究旨在通过对近期研究的文献综述来展示e-ASPECTS程序的局限性,这些研究比较了脑卒中检测和评估水平上的自动表现和人类表现。本文重点介绍了最近开发的基于人工智能的中风诊断和治疗工具,并与人类评分进行了比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
e-ASPECTS for early detection and diagnosis of ischemic stroke
Ischemic Stroke is one of the major causes of human death and disability. So early stroke diagnosis is vital for patient’s survival and is remained as challenge for neurophysicians. The electronic Alberta Stroke Program Early CT Score (e-ASPECTS) software is widely used by neurophysician to assess the extent of early ischemic changes in brain imaging for acute stroke treatment. However, despite its efficiency, e-ASPECTS suffer of some limitations because of non-contrast computed-tomography scans. This study aims to present the e-ASPECTS program limits of through a literature review of recent studies that compare between automatic performance and human performance at the level of stroke detection and assessment. The present paper highlights the recently developed Artificial-Intelligent based tools in diagnosis and treatment of stroke with a comparison with humain score.
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