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Artificial Intelligence in Military Graduate Medical Education: Trainee Perceptions and Current Use.

Joseph M Yabes1,2, David A Lindholm1,2, Mary B Ford1,2

  • 1Department of Medicine, Brooke Army Medical Center, San Antonio, TX 78234, United States.

Military Medicine
|March 10, 2026
PubMed
Summary
This summary is machine-generated.

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Medical trainees view artificial intelligence (AI) favorably and desire formal training. Many already use AI in practice without adequate education, highlighting a need for curriculum development in graduate medical education (GME).

Area of Science:

  • Medical Education
  • Artificial Intelligence
  • Healthcare Technology

Background:

  • Artificial intelligence (AI) is increasingly accessible and user-friendly, with significant potential impact on medical education.
  • Graduate medical education (GME) research has explored AI, particularly in diagnostics, but few studies encompass multiple programs or military health systems.
  • There is a need to understand GME trainees' perceptions and experiences with AI to inform curriculum development and ensure future physician readiness.

Purpose of the Study:

  • To assess graduate medical education (GME) trainees' perceptions and experiences with artificial intelligence (AI).
  • To inform the development of educational curricula regarding AI in a military healthcare setting.
  • To ensure GME graduates are prepared for the integration of AI in medical practice.

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Main Methods:

  • A cross-sectional survey was administered to all trainees at the San Antonio Uniformed Services Health Education Consortium (SAUSHEC).
  • Survey questions were adapted from existing literature on AI investigations, utilizing a five-point Likert scale.
  • Demographic data and AI training/utilization experiences were collected via an electronic QR code, with descriptive statistics performed on the results.

Main Results:

  • Eighty-three GME trainees participated; 84% agreed on the need for formal AI training, and 73% felt their current curriculum was insufficient.
  • A significant majority (84%) believe AI will be essential in medicine, and most perceive AI could improve GME training and clinical decision-making.
  • Trainees reported current AI use in diagnosis (30%), treatment (27%), research (25%), and teaching (28%), despite only 10 reporting prior formal AI training.

Conclusions:

  • GME trainees hold favorable views on AI and express a strong desire for formal training.
  • Trainees are actively using AI in their daily practice without formal training, indicating a gap in current education.
  • A baseline needs assessment for AI curriculum development is established, emphasizing the need for deliberate training in human-machine interaction for military GME platforms.