Back to Search Start Over

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

Authors :
Zhongjian Wen
Yiren Wang
Yuxin Zhong
Yiheng Hu
Cheng Yang
Yan Peng
Xiang Zhan
Ping Zhou
Zhen Zeng
Source :
Frontiers in Neurology, Vol 15 (2024)
Publication Year :
2024
Publisher :
Frontiers Media S.A., 2024.

Abstract

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.

Details

Language :
English
ISSN :
16642295
Volume :
15
Database :
Directory of Open Access Journals
Journal :
Frontiers in Neurology
Publication Type :
Academic Journal
Accession number :
edsdoj.8dace760bf64009b5eeec87add9a67c
Document Type :
article
Full Text :
https://doi.org/10.3389/fneur.2024.1391382