Leading the Transformation: USU Faculty and Students Chart the Path for AI in Military Medicine

Leading the Transformation: USU Faculty and Students Chart the Path for AI in Military Medicine

Leading the Transformation: USU Faculty and Students Chart the Path for AI in Military Medicine

https://news.usuhs.edu/2026/02/leading-transformation-usu-faculty-and.html

Publish Date: 2026-02-06 11:03:00

Source Domain: news.usuhs.edu

  • Roadmap for AI Integration: USU faculty and the School of Medicine Class of 2027 have developed a roadmap for integrating artificial intelligence (AI) in military medical education to prepare future clinicians for AI-enabled operational environments.

  • Authors: The roadmap, published in Military Medicine, is co-authored by leaders from USU’s School of Medicine, including Lt. Col. (Dr.) Justin Peacock, Dr. Rebekah Cole, and students Air Force 2nd Lt. Brandon Jensen and Army 2nd Lt. Brad Snively.

  • Multi-layered Approach: The publication emphasizes a strategy that starts with faculty development, extends through student engagement, and includes partnerships with industry to ensure comprehensive AI literacy within medical curriculum.

  • Future-ready Clinicians: The roadmap aligns with USU’s broader goal to produce “future-ready” clinicians by focusing on the ethical use, technical literacy, and practical application of AI across medical education stages.

  • Student Involvement in Curriculum: USU students, including Jensen and Snively, have an active role in shaping the curriculum, providing insights into AI’s practical applications in studying and clinical settings.

  • AI Benefits Highlighted: The roadmap identifies benefits of AI integration including reduced cognitive burden, operational readiness in austere environments, and personalized learning.

  • Ethical Considerations: The authors address challenges such as the “black box” nature of some AI algorithms, emphasizing the need for high AI literacy and maintaining a “human-in-the-loop” approach for verifying AI outputs.

  • Future Vision: Snively highlights the potential of combining AI with verified medical data to tackle misinformation and improve clinicians’ diagnostic capabilities.