Application of artificial intelligence technology in the evaluation of markers for cerebral small vessel disease
10.3760/cma.j.issn.1673-4165.2024.03.009
- VernacularTitle:人工智能技术在脑小血管病标志物评价中的应用
- Author:
Shiyu ZHANG
1
;
Baoshuai SHAN
;
Zhong ZHAO
;
Hua ZHOU
Author Information
1. 南京医科大学附属苏州医院神经内科，苏州 215000
- Keywords:
Cerebral small vessel diseases;
Artificial intelligence;
Magnetic resonance imaging;
Machine learning;
Deep learning;
Neural networks, computer;
Biomarkers
- From:
International Journal of Cerebrovascular Diseases
2024;32(3):209-215
- CountryChina
- Language:Chinese
-
Abstract:
Cerebral small vessel disease (CSVD) is a group of cerebrovascular system disease syndromes that involve perforating arteries, capillaries, and small veins. Because of the high incidence of CSVD in the elderly and its great harm, it is particularly important to identify and diagnose the diseases as early as possible. With the development of artificial intelligence technology, intelligent algorithms such as machine learning, deep learning, and computer neural networks are increasingly being applied in the medical field. This article reviews the application of artificial intelligence technology in the evaluation of CSVD imaging markers and blood biomarkers in recent years.
