e-ASPECTS for early detection and diagnosis of ischemic stroke

Abstract

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.