人工智能在急性缺血性脑卒中的应用进展
Application Progress of Artificial Intelligence in Acute Ischemic Stroke
DOI: 10.12677/acm.2025.1541311, PDF,   
作者: 赵 瑞：重庆医科大学第五临床学院，重庆；赵立波：重庆医科大学附属永川医院神经内科，重庆
关键词: 缺血性脑卒中；人工智能；医学影像；CT；MRI；Ischemic Stroke； Artificial Intelligence； Medical Imaging； CT； MRI
摘要: 脑卒中是当代社会人类第二大死因，每年全球大约有550万人因脑卒中死亡，尤以缺血性脑卒中最为常见。在我国，脑卒中是成人致死、致残的首位病因，给患者及其家庭造成巨大的经济负担。医学影像学在急性脑卒中的诊疗中起到至关重要的辅助作用。随着计算机技术的快速发展，近年来人工智能广泛应用于医学影像领域，在缺血性脑卒中的早期筛查、梗死灶识别和缺血半暗带评估、血管闭塞识别、疗效评估和预后预测方面显示出巨大的应用价值。本文旨在讨论人工智能在缺血性脑卒中诊疗中应用及优缺点。
Abstract: Stroke is the second leading cause of death in contemporary society. There are about 5.5 million people die of stroke in the world every year, especially ischemic stroke. Stroke is the leading cause of adult death and disability in China, which brings huge economic burden to patients and their families. Medical imaging plays an important auxiliary role in the diagnosis and treatment of acute stroke. With the rapid development of computer technology, artificial intelligence has been widely used in the field of medical imaging in recent years, which has shown great application value in the early screening of ischemic stroke, identification of infarction and ischemic penumbra, identification of vascular occlusion, efficacy evaluation and prognosis prediction. This article aims to discuss the application, advantages and disadvantages of artificial intelligence in the diagnosis and treatment of ischemic stroke.
文章引用：赵瑞, 赵立波. 人工智能在急性缺血性脑卒中的应用进展[J]. 临床医学进展, 2025, 15(4): 3397-3402. https://doi.org/10.12677/acm.2025.1541311

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