Topic 1: Recent operations conducted in an era of air and naval superiority facilitated the expeditious evacuation of casualties, to include those with battle injuries and disease, non-battle injuries (DNBI), to a higher echelon of care. As the U.S. Air Force confronts near-peer threats and potential large-scale combat operations (LSCO) without air or naval superiority, medical capabilities will have a direct impact on the line military commander’s ability to accomplish military objectives. While near-peer LSCO casualty estimates may potentially rival those of World War II, DNBI accounts for a greater proportion of military casualties and lost duty days than battle injuries (BI) and must be prioritized in current and future military medical planning. DNBI, when treated appropriately to minimize the individual risk, facilitates the generation and regeneration of service members, crucial for maintaining military readiness in theater. The preservation of the military force relies heavily on the collaborative efforts of military providers to include mental health, physical therapy, and primary care providers. This panel will discuss current Air Force Medical Service efforts to generate and re-generate the force. Topic 2: This presentation explores the application of Department of the Air Force (DAF) Data and Artificial Intelligence (AI) Strategies within the Air Force Medical Service (AFMS) to improve patient care and enhance readiness. Participants will gain an understanding of the core principles of the DAF Data Strategy (VAULTIS) and the mission-focused pillars of the DAF AI Strategy, translated into the context of military healthcare. The discussion will cover how Data Management Plans (DMPs), the Data Management Decision Support System (DMDSS), and the Data Mesh Environment (DME) support data readiness for AI and innovation, enabling medical professionals to access and utilize data more effectively. The presentation will describe key stakeholder roles in implementing data and AI strategies within the AFMS, emphasizing the importance of collaboration and data literacy. Finally, it will address the challenges of data utilization within the AFMS and highlight the opportunities to leverage AI for improved diagnostics, personalized treatment, optimized resource allocation, and enhanced population health outcomes, driving data-driven innovation in military medicine. The call to action is for AMSUS members to actively participate in data governance, advocate for data literacy, and champion data-driven decision-making.