Abstract
Parkinson’s disease is a neurodegenerative disease that seriously endangers the health of middle-aged and old people and is characterized by the degeneration of nigrostriatal dopaminergic neurons as its main pathologic feature. Due to its numerous influencing factors, unclear pathogenic mechanisms, and complex clinical manifestations, the diagnosis and treatment of Parkinson’s disease still face huge challenges. In recent years, artificial intelligence technology has developed rapidly and its application in the medical field has become increasingly widespread. This article reviews the achievements of artificial intelligence in the diagnosis and treatment of Parkinson’s disease, with a view to benefiting patients with Parkinson’s disease in the future.
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