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Area of Science:

  • Military Medicine
  • Artificial Intelligence in Warfare
  • Medical Education and Training

Background:

  • Artificial intelligence (AI) is fundamentally altering warfare through autonomous systems and data analytics.
  • Current military medical education and doctrine lag behind the rapid advancements in AI-enabled combat environments.
  • This gap creates significant operational, ethical, and clinical challenges for military medical readiness.

Purpose of the Study:

  • To outline systemic vulnerabilities in military medicine's preparedness for AI-enabled large-scale combat operations.
  • To identify critical gaps in trauma training, medical logistics, and ethical preparedness.
  • To propose concrete recommendations for adapting military medicine to AI-driven warfare.

Main Methods:

  • Analysis of systemic vulnerabilities including infrastructure, data integrity, and cybersecurity.
  • Review of recent conflicts and emerging technologies impacting military medicine.
  • Identification of gaps in current educational and doctrinal alignment with the evolving battlespace.

Main Results:

  • Significant infrastructure gaps, data integrity issues, and cybersecurity threats hinder readiness.
  • Lack of doctrinal and educational alignment with AI-enhanced battlefields is a critical vulnerability.
  • Gaps exist in trauma training, medical logistics, and ethical preparedness for AI-driven conflicts.

Conclusions:

  • Military medicine requires targeted curricular redesign, ethical education, and interdisciplinary collaboration.
  • Recommendations include embedding AI scenarios in simulations and training human-AI teaming.
  • Adapting military medicine is essential to ensure operational readiness in future AI-driven conflicts.