Learning Objectives:
1. Recognize how artificial intelligence and machine learning can change the way we analyze current neuroimaging studies for the diagnosis and differential diagnosis of Parkinson’s disease
2. Identify multimodal imaging techniques that may be helpful for early detection and monitoring Parkinson’s disease
3. Discuss the latest advancements in the development of alpha-synuclein tracers for Parkinson’s disease