What question did this study set out to answer?

The aim is to propose a comprehensive framework for incorporating artificial intelligence education into military medical training to address skill gaps.

March 1, 2026

Embedding Artificial Intelligence Competencies in Military Medical Education: A Longitudinal Framework.

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The aim is to propose a comprehensive framework for incorporating artificial intelligence education into military medical training to address skill gaps.
Developed a longitudinal, competency-based framework for integrating AI education across all phases of undergraduate medical education.
Embedded AI-related competencies within existing medical education domains like Patient Care and Professionalism.
Utilized a scaffolded approach to build AI knowledge and application skills throughout training periods.
Identifying a readiness gap in current military medical education regarding AI skills.
Proposing a structured integration of AI tools in clinical settings to enhance decision-making and operational readiness.
Highlighting the importance of intentional curriculum design and faculty development for successful AI education implementation.

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Implication

Commentary proposes a longitudinal framework integrating AI education in military medical training, enhancing decision-making capabilities.

Cite This Study

Cole et al. (2026) studied this question.

synapsesocial.com/papers/69a3d856ec16d51705d2f24d https://doi.org/10.1093/milmed/usag068

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Implication

Commentary proposes a longitudinal framework integrating AI education in military medical training, enhancing decision-making capabilities.

Embedding Artificial Intelligence Competencies in Military Medical Education: A Longitudinal Framework.

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Discussion

Implication

Cite This Study

Embedding Artificial Intelligence Competencies in Military Medical Education: A Longitudinal Framework.

Key Points

Discussion

Implication

Cite This Study

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