Advances in research and application of artificial intelligence and radiomic predictive models based on intracranial aneurysm images

被引:7
作者
Wen, Zhongjian [1 ,2 ]
Wang, Yiren [1 ,2 ]
Zhong, Yuxin [3 ]
Hu, Yiheng [4 ]
Yang, Cheng [5 ]
Peng, Yan [6 ]
Zhan, Xiang [7 ]
Zhou, Ping [2 ,7 ]
Zeng, Zhen [8 ]
机构
[1] Southwest Med Univ, Sch Nursing, Luzhou, Peoples R China
[2] Southwest Med Univ, Sch Nursing, Wound Healing Basic Res & Clin Applicat Key Lab Lu, Luzhou, Peoples R China
[3] Guizhou Med Univ, Sch Nursing, Guiyang, Peoples R China
[4] Southwest Med Univ, Dept Med Imaging, Luzhou, Peoples R China
[5] Southwest Med Univ, Sch Basic Med Sci, Luzhou, Peoples R China
[6] Southwest Med Univ, Affiliated Hosp, Dept Intervent Med, Luzhou, Peoples R China
[7] Southwest Med Univ, Affiliated Hosp, Dept Radiol, Luzhou, Peoples R China
[8] Southwest Med Univ, Affiliated Hosp, Psychiat Dept, Luzhou, Peoples R China
关键词
radiomics; artificial intelligence; machine learning; deep learning; intracranial aneurysm; EMBOLIZATION; HEMORRHAGE;
D O I
10.3389/fneur.2024.1391382
中图分类号
R74 [神经病学与精神病学];
学科分类号
摘要
Intracranial aneurysm is a high-risk disease, with imaging playing a crucial role in their diagnosis and treatment. The rapid advancement of artificial intelligence in imaging technology holds promise for the development of AI-based radiomics predictive models. These models could potentially enable the automatic detection and diagnosis of intracranial aneurysms, assess their status, and predict outcomes, thereby assisting in the creation of personalized treatment plans. In addition, these techniques could improve diagnostic efficiency for physicians and patient prognoses. This article aims to review the progress of artificial intelligence radiomics in the study of intracranial aneurysms, addressing the challenges faced and future prospects, in hopes of introducing new ideas for the precise diagnosis and treatment of intracranial aneurysms.
引用
收藏
页数:12
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