南京医科大学学报（自然科学版）2024，Vol.44Issue(6)：876-881,6.DOI:10.7655/NYDXBNSN230758
人工智能与PET/MR在帕金森病诊断中的应用
The application of artificial intelligence and PET/MR in the diagnosis of Parkinson's disease
摘要
Abstract
Parkinson's disease is a common neurodegenerative disorder characterized by the degeneration and death of dopaminergic neurons in the substantia nigra of the midbrain.PET/MR is a novel imaging technology that has been developed in recent years to enable the simultaneous acquisition of metabolic and structural images.This technology holds great value in the early detection of clinical markers for Parkinson's disease.Artificial intelligence models have been extensively employed in clinical settings to assist physicians in diagnosis,yielding promising outcomes.In this paper,we aim to review the application of machine learning and PET/MR in the diagnosis of Parkinson's disease,focusing on their potential to enhance diagnostic accuracy and facilitate early detection.关键词
人工智能/帕金森病/PET/MRKey words
artificial intelligence/Parkinson's disease/PET/MR分类
医药卫生引用本文复制引用
张逸悦,王峰..人工智能与PET/MR在帕金森病诊断中的应用[J].南京医科大学学报（自然科学版）,2024,44(6):876-881,6.基金项目
国家重点研发计划(2022YFC2406900) （2022YFC2406900）
