Advances in Research and Application of Artificial Intelligence and Radiomic Predictive Models Based on Intracranial Aneurysm Images

Overview

Journal Front Neurol

Specialty Neurology

Date 2024 May 2

PMID 38694771

Authors

Zhongjian Wen

Yiren Wang

Yuxin Zhong

Yiheng Hu

Cheng Yang

Yan Peng

Xiang Zhan

Ping Zhou

Zhen Zeng

Affiliations

Soon will be listed here.

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.

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