Research progress of machine learning-based magnetic resonance imaging technology in diagnosis of autism spectrum disorder
10.3760/cma.j.cn121382-20250303-00211
- VernacularTitle:基于机器学习的磁共振成像技术在孤独症谱系障碍诊断中的研究进展
- Author:
Junming ZHANG
1
;
Wang LI
;
Yuefu ZHAN
Author Information
1. 重庆理工大学药学与生物工程学院，重庆 400054
- Keywords:
Autism spectrum disorder;
Artificial intelligence;
Machine learning;
Deep learning;
Magnetic resonance imaging
- From:
International Journal of Biomedical Engineering
2025;48(2):182-189
- CountryChina
- Language:Chinese
-
Abstract:
In recent years, machine learning and its subset, deep learning, have made significant progress in medical image analysis. Magnetic resonance imaging (MRI) technology has become a critical tool for the diagnosis of autism spectrum disorder (ASD) by providing high-resolution data of brain structure and function. In this review, the characteristics of ASD in MRI were summarized, ASD-related MRI datasets and preprocessing methods were discussed, MRI feature selection and extraction techniques of ASD were examined, machine learning-based diagnostic approaches and their interpretablility were evaluated, and future research directions were proposed.
