Parkinson's Disease (PD) is an age-related progressive neurodegenerative disease that poses significant challenges for both patients and healthcare providers. One of the crucial challenges in PD diagnosis and management is the absence of reliable diagnostic biomarkers and variability in PD symptoms, leading to potential misdiagnoses. Artificial Intelligence (AI) solutions and quantum computing techniques can be utilized to enhance PD diagnosis, monitoring, and treatment. Several AI-based tools and systems have been developed that facilitate early diagnosis, continuous monitoring, data integration, and medication optimization. Quantum computing algorithms can further be developed to analyze medical data and make predictions regarding PD presence and progression. The accurate diagnosis of Parkinson's disease can be achieved through AI, and there is need for a strong collaboration between Artificial Intelligence (AI) and healthcare systems that can adapt to evolving needs. This will lead to a significant contribution to advancing AI in healthcare and improving patient well-being.