数字表型与人工智能技术在帕金森病评估及智慧康复中的应用OA

Parkinson's disease(PD),as one of the most common neurodegenerative disorders,is primarily characterized by the progressive degeneration and death of dopaminergic neurons in the substantia nigra of the midbrain.The disease presents with com-plex and diverse clinical manifestations,and faces dual challenges in early diagnosis and the lack of curative treatments.The number of PD patients has been increasing year by year in China,forming a large patient population.The disease not only severely affects pa-tients'quality of life but also greatly increases the societal healthcare burden.Advances in technology have enabled the growing ap-plication of digital phenotyping and artificial intelligence(AI)technologies in disease diagnosis and therapy,offering new opportuni-ties for PD management.This article systematically explores the latest progress in the application of digital phenotyping and AI tech-nologies in PD assessment and smart rehabilitation,including speech analysis,quantification of facial expressions,motion signal monitoring,and the integration of AI with treatment.Specific applications encompass speech feature extraction,facial expression as-sessment,wearable devices,and the development of personalized rehabilitation strategies.The article also identifies current prob-lems and challenges in technology implementation,clinical application,and ethical regulation,with the aim of providing insights for future technology development and long-term PD management.