赣南医科大学学报2025，Vol.45Issue(2)：142-148,7.DOI:10.3969/j.issn.1001-5779.2025.02.006
基于人工智能的颅内动脉瘤检测与诊断
Detection and diagnosis of intracranial aneurysms based on AI
雷航 1郭少华 2温雪姣1
作者信息
- 1. 赣南医科大学第一临床医学院
- 2. 赣南医科大学第一附属医院医学影像科,江西 赣州 341000
- 折叠
摘要
Abstract
Intracranial aneurysms have the characteristics of high incidence,high disability and high mortality.The stealthiness of unruptured intracranial aneurysms underscores the urgent need for early detection and diagnosis.Currently,common diagnostic methods for intracranial aneurysms include CT angiography,MR angiography,and digital subtraction angiography.These conventional diagnostic techniques heavily rely on radiologists'interpretation of images,often leading to inconsistencies in diagnostic outcomes and even potential risks of misdiagnosis and underdiagnosis.With the aim of achieving higher diagnostic efficiency and accuracy,Artificial intelligence(AI)has emerged as a promising technolog-ical approach.Yet,its application in the field of cerebrovascular diseases is still in its early stages,with untapped po-tential awaiting exploration.This article will provide an overview of the current applications of AI in detecting and diag-nosing intracranial aneurysms,analyze the associated risks and challenges,and envisage its diagnostic potential in this do-main,offering insights for further exploration in the diagnosis and treatment of intracranial aneurysms.关键词
颅内动脉瘤/脑血管疾病/人工智能Key words
Intracranial aneurysm/Cerebrovascular diseases/Artificial intelligence分类
临床医学引用本文复制引用
雷航,郭少华,温雪姣..基于人工智能的颅内动脉瘤检测与诊断[J].赣南医科大学学报,2025,45(2):142-148,7.
