Li Xiaopeng, Zeng Lang, Lu Xuanzhen, Chen Kun, Yu Maling, Wang Baofeng, Zhao Min
Department of Neurosurgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China.
Department of Neurology, The Third Hospital of Wuhan, Wuhan 430074, China.
Brain Sci. 2023 Jul 11;13(7):1056. doi: 10.3390/brainsci13071056.
Intracranial aneurysms (IAs) are highly prevalent in the population, and their rupture poses a significant risk of death or disability. However, the treatment of aneurysms, whether through interventional embolization or craniotomy clipping surgery, is not always safe and carries a certain proportion of morbidity and mortality. Therefore, early detection and prompt intervention of IAs with a high risk of rupture is of notable clinical significance. Moreover, accurately predicting aneurysms that are likely to remain stable can help avoid the risks and costs of over-intervention, which also has considerable social significance. Recent advances in artificial intelligence (AI) technology offer promising strategies to assist clinical trials. This review will discuss the state-of-the-art AI applications for assessing the rupture risk of IAs, with a focus on achievements, challenges, and potential opportunities.
颅内动脉瘤（IAs）在人群中高度普遍，其破裂会带来显著的死亡或残疾风险。然而，动脉瘤的治疗，无论是通过介入栓塞还是开颅夹闭手术，并不总是安全的，且存在一定比例的发病率和死亡率。因此，对具有高破裂风险的颅内动脉瘤进行早期检测和及时干预具有显著的临床意义。此外，准确预测可能保持稳定的动脉瘤有助于避免过度干预的风险和成本，这也具有相当大的社会意义。人工智能（AI）技术的最新进展提供了有前景的策略来辅助临床试验。本综述将讨论用于评估颅内动脉瘤破裂风险的最新人工智能应用，重点关注成果、挑战和潜在机遇。
