Research progress of artificial intelligence in the clinical diagnosis of Parkinson's disease
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.
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