Academic medicine and research is increasingly adopting and integrating Artificial Intelligence (AI), offering transformative potential across multiple application domains. This presentation will detail the implementation and impact of AI at the Uniformed Services University of the Health Sciences (USUHS) School of Medicine and its associated research initiatives.
The first section will address the incorporation of AI tools in medical education. USUHS is leveraging AI to enhance curriculum development, optimize studying methodologies, and create comprehensive dashboards that monitor student performance and identify areas of weakness. These AI-driven platforms are designed to process and integrate complex medical information, facilitating improved educational outcomes. The second section will explore the Surgical Critical Care Initiative (SC2i) and its development of AI/ML-driven Clinical Decision Support Tools (CDSTs). These tools utilize molecular biomarkers and machine learning algorithms to predict complications following trauma and surgery, providing data-driven insights that support clinical decision-making and patient care management.
The final section will examine the creation of the Advance Research Cloud (ARC) Initiative at USUHS, which draws on insights gained from prior AI implementations. This platform is designed to support AI, machine learning, and big data research within a secure cloud environment, providing tailored templates and reducing the technical expertise required for effective research. The initiative aims to facilitate more efficient and accessible research methodologies, ultimately advancing the capabilities of academic medicine and research. This talk will provide a comprehensive overview of how AI is being applied in both educational and medical research settings at USUHS, highlighting the successes, challenges, and future directions of these initiatives.
