Population Health Management (PHM) involves the management and analysis of patient data to identify patterns and trends in health outcomes, with the goal of improving patient outcomes, reducing costs, and improving the overall health of a population. Currently, PHM is primarily accomplished through manual data analysis and risk stratification. However, AI can help automate and enhance these processes, enabling more accurate and timely identification of high-risk patient populations, enhancing care coordination, and improving overall population health outcomes. The use of AI in Population Health Management has the potential to dramatically improve patient outcomes, reduce costs, and enhance the overall health of populations. By leveraging AI to identify high-risk populations earlier, providers can intervene sooner, resulting in improved patient outcomes and reduced healthcare costs.