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In the field of healthcare, the intersection of Artificial Intelligence (AI) and Public Health has emerged as an essential component, presenting numerous opportunities for innovation that are one of a kind. The purpose of this research paper is to investigate the historical development, current patterns, and global repercussions of incorporating AI into healthcare systems. The paper provides a comprehensive analysis of the application of AI in the field of public health. It covers the progression of the field, beginning with the initial efforts to automate diagnostic procedures and ending with the most recent developments in predictive modeling and precision medicine. The research investigates the degree to which various nations have adopted AI, highlighting both successful implementations and ongoing challenges in the framework of the global landscape. The intentional incorporation of AI is presented as a driving force for the transformation of healthcare provision. This transformation has the potential to provide potential benefits such as improved precision in diagnosis, effectiveness in treatment, and efficient utilization of treatment resources. In addition, the paper places an emphasis on the proactive role that AI plays in identifying and mitigating emerging health risks. Providing useful information about the policies, practices, and frameworks that enable the efficient incorporation of AI into public health is the primary objective of this research. The purpose of this paper is to provide policymakers, healthcare practitioners, and researchers with suggestions that can be put into practice today by combining historical perspectives and analyzing patterns that are currently occurring. The purpose of this action is to have an impact on the conversation that is taking place about the future of healthcare delivery, with the intention of highlighting the significant impact that AI can have on improving the circumstances of public health. [ABSTRACT FROM AUTHOR]