人工智能在颅内动脉瘤不稳定性预测中的应用及研究进展

【中图分类号】 R743 【文献标志码】 A 【文章编号】 1672-7770（2026）01-0117-04

Abstract：Intracranial aneurysms（IAs）are common yet potentially fatal cerebrovascular lesions，whose rupture canleadto subarachnoid hemorrhage（SAH）with highmortalityand disabilityrates.Currently，conventional methods forpredictingIAinstabilityrelyonnaturalhistory，morphologicalfeatures，hemodynamics，andbiomarkers，butthese approaches exhibit limitations inpredictiveperformance.Inrecent years，artificial intellgence（AI），particularly dep learning techniques，has demonstrated significant potential inthe detection and stabilityprediction IAs.This article provides acomprehensivereview AI applications inIArupture risk assessment，while discussing current challenges and future research directions.

Key words：intracranial aneurysm；instability prediction；rupture risk prediction；artificial intelligenc

颅内动脉瘤（intracranialaneurysm，IA）系颅内动脉局限性异常扩大造成动脉壁的囊性膨出。（剩余9091字）