人工智能在脑卒中神经影像中的应用

Application of Artificial Intelligence in Neuroimaging of Stroke

近年来,人工智能在计算机科学领域快速崛起。医学成像过程中产生了海量图像信息,因此非常适合采用人工智能技术进行相关数据处理。脑卒中患者神经影像在临床诊断、治疗及随访评估中非常关键,人工智能技术在基于脑卒中影像数据的处理和分析中发挥着越来越重要的作用。本文主要回顾人工智能技术在缺血性与出血性脑卒中神经影像应用中的研究进展,重点关注缺血性脑卒中的自动检测、责任脑区缺血状态判断及治疗评估,以及出血性脑卒中的智能诊断、量化分析及治疗评估;同时对基于脑卒中影像智能诊断系统的临床转化应用现状进行分析,探讨当前人工智能在脑卒中神经影像应用过程中存在的主要挑战,并对未来发展前景进行展望。

Artificial intelligence(AI)has risen rapidly in the research field of computer science.The amount of data generated in the process of medical imaging is huge,so it is very suitable to use artificial intelligence technology for related data processing.Neuroimaging of patients with stroke plays a key role in clinical diagnosis,treatment and follow-up.AI technology plays an increasingly important role in the processing and analysis of imaging data of stroke.This paper mainly reviews the research progress of AI technology in neuroimaging of ischemic and hemorrhagic stroke,focusing on the detection of ischemic stroke,judgment of ischemic state of responsible brain area and treatment evaluation,as well as the application of AI technology in the diagnosis,quantitative analysis and treatment evaluation of hemorrhagic stroke.At the same time,the current situation of its clinical transformation application was analyzed.Furthermore,it discusses the main limitations of the current application of AI in stroke neuroimaging,and prospects for future development.