This article explores the transformative role of Artificial Intelligence (AI) in early disease detection, focusing on Parkinson's disease as a case study. It highlights how AI technologies, such as machine learning algorithms, enhance diagnostic accuracy and improve patient outcomes by enabling early intervention and personalized treatment strategies. The article discusses innovative AI applications, including the analysis of breathing patterns, vocal recordings, and medical imaging, which offer non-invasive and accurate methods for detecting Parkinson's disease. However, the integration of AI in healthcare also presents ethical challenges, particularly concerning patient privacy, data security, and algorithmic bias. The article examines existing policies and proposes strategies for responsible AI implementation, emphasizing the need for collaboration among stakeholders to maximize AI's benefits while safeguarding patient privacy and upholding ethical standards.