人工智能在帕金森病临床诊断的研究进展
Research progress of artificial intelligence in the clinical diagnosis of Parkinson's disease
赵宇雯 1万赢 1刘振国1
作者信息
- 1. 上海交通大学医学院附属新华医院神经内科,上海 200092
- 折叠
摘要
人工智能技术用于帕金森病的临床诊断研究显著增加,不仅体现了其在医工交叉领域的应用潜力,也彰显了其在提高诊断效率和准确性方面的重要价值.本综述旨在通过综合分析现有文献,系统性地阐述人工智能在帕金森病临床诊断的研究现状,深入探讨其在震颤检测、面部表情识别、语音识别、步态分析以及影像组学分析等方面的最新研究进展和存在的问题,为今后临床实践提供参考和建议.
Abstract
The significant increase in clinical diagnosis research of Parkinson's disease(PD)using artificial intelligence technology not only reflects its potential application in the field of medical engineering,but also highlights its important value in improving diagnostic efficiency and accuracy of PD.This review aims to systematically elaborate the current research status of artificial intelligence in the clinical diagnosis of PD through comprehensive analysis of existing literature,and deeply explore its latest research progress and existing problems in tremor detection,facial expression recognition,speech recognition,gait analysis,and radiomics analysis,providing reference and suggestions for the future clinical practice.
关键词
帕金森病/人工智能/临床诊断/运动症状/影像Key words
Parkinson disease/Artificial intelligence/Clinical diagnosis/Motor symptoms/Imaging引用本文复制引用
出版年
2024
NETL
NSTL
万方数据