同济大学学报（医学版）2023，Vol.44Issue(6)：918-924,7.DOI:10.12289/j.issn.1008-0392.23084
基于多模态影像的机器学习与深度学习在帕金森病诊治中的应用进展
Progress on the application of machine learning and deep learning based on multimodal imaging in diagnosis and treatment of Parkinson's disease
摘要
Abstract
Parkinson's disease(PD)is a common neurodegenerative disease,it is irreversible when clinical symptoms appear,so early diagnosis is particularly important.With the development of artificial intelligence technology,machine learning and deep learning has been widely used in medical data analysis and automated neuroimaging diagnosis.This article reviews the application of machine learning and deep learning based on multimodal imaging in the early diagnosis,disease classification and functional prediction of Parkinson's disease,its limitations and future development trend are also discussed.关键词
机器学习/深度学习/神经网络/帕金森病/多模态影像Key words
machine learning/deep learning/neural network/Parkinson's disease/multimodal imaging分类
医药卫生引用本文复制引用
熊金华,席芊..基于多模态影像的机器学习与深度学习在帕金森病诊治中的应用进展[J].同济大学学报（医学版）,2023,44(6):918-924,7.基金项目
上海市科学技术委员会科研项目(20Y11911700) （20Y11911700）
