Artificial intelligence (AI) has emerged as a transformative force in healthcare, enabling personalized treatments tailored to individual patients' needs. AI's ability to process large datasets, identify patterns, and make predictions is revolutionizing diagnostics, treatment plans, and patient care management. This paper examines the role of AI in personalized healthcare treatments, exploring its applications in areas such as precision medicine, genomics, and treatment optimization. It also addresses challenges, including data privacy, algorithmic biases, and the need for regulatory frameworks. The potential for AI to enhance patient outcomes through personalized care is immense, but careful integration and oversight are necessary to ensure its effective and ethical use.