Stroke is one of two main causes of death worldwide. Many individuals suffer from ischemic stroke every year. Only in US more over 700,000 individuals meet ischemic stroke due to blood clot blocking an artery to the brain every year. The paper describes particular approach how to apply Artificial Intelligence for purposes of separating two major acute ischemic stroke (AIS) etiology subtypes: cardiac and large artery atherosclerosis. Four deep neural network architectures and simple ensemble method are used in the approach.

翻译：卒中是全球两大主要死因之一。每年有大量人群罹患缺血性卒中。仅在美国，每年就有超过70万人因血凝块阻塞脑部动脉而罹患缺血性卒中。本文描述了一种特定方法，利用人工智能区分两种主要的急性缺血性卒中（AIS）病因亚型：心源性栓塞和大动脉粥样硬化。该方法采用了四种深度神经网络架构和一种简单集成方法。