Recent advance in artificial intelligence in diagnosis, treatment, and long-term management of Parkinson's disease
10.3760/cma.j.cn115354-20250318-00151
- VernacularTitle:人工智能在帕金森病诊治及长程管理中的应用研究进展
- Author:
Xuefeng JIA
1
;
Xu REN
1
;
Yu KE
1
;
Qi WANG
1
Author Information
1. 长治医学院附属和济医院老年科，长治 046000
- Publication Type:Journal Article
- Keywords:
Parkinson's disease;
Artificial intelligence;
Diagnosis;
Treatment;
Long-term management
- From:
Chinese Journal of Neuromedicine
2025;24(8):857-864
- CountryChina
- Language:Chinese
-
Abstract:
Parkinson's disease (PD) is a kind of prevalent neurodegenerative disorders characterized by motor symptoms such as bradykinesia, tremor and muscle rigidity, as well as non-motor symptoms such as neuropsychiatric symptoms, autonomic dysfunction and sleep-wake disorders; these symptoms seriously affect the quality of life of patients. The current diagnosis and treatment as well as long-term management still face some deficiencies, such as lack of highly sensitive biomarkers for early diagnosis, relatively subjective clinical comprehensive assessment, individualized treatment strategies mainly formulated based on subjective cognition and clinical experience of physicians, and absence of long-term management data. In recent years, with the rapid development of artificial intelligence (AI), it has demonstrated significant application potential and value in diagnosis, treatment, and long-term management of PD. This article reviews the recent advances of AI in the above-mentioned fields of PD, with the aim of providing references for improving clinical diagnosis, treatment, and long-term management of PD.
