Readying Military Medicine for AI-Enabled Warfare

Artificial intelligence (AI) is transforming the character of warfare through autonomous systems, real-time data analytics, and algorithmic decision-making, creating new operational, ethical, and clinical challenges for military medicine. While modern battlefields become increasingly shaped by AI-enhanced targeting, autonomous weapons, and contested digital environments, current military medical education and doctrine have not evolved to address these developing threats. This commentary outlines the systemic vulnerabilities that limit military medicine's readiness for AI-enabled large-scale combat operations, including infrastructure gaps, data integrity challenges, cybersecurity threats, and a lack of doctrinal and educational alignment with the evolving battlespace. Drawing from recent conflicts and emerging technologies, we identify critical gaps in trauma training, medical logistics, and ethical preparedness and offers concrete recommendations for reform. Our education and training recommendations include embedding AI-focused scenarios into high-fidelity simulation exercises, training medical personnel in human-AI teaming, and emphasizing data stewardship as a key clinical competency. Through targeted curricular redesign, ethical education, and interdisciplinary collaboration, military medicine can adapt to the demands of AI-driven warfare and ensure operational readiness in future conflicts.

Authors

Institutions

Publication Details

Journal
Military Medicine
Published
2025-09-26
DOI
https://doi.org/10.1093/milmed/usaf460
Citations
2
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
1.31
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Readying Military Medicine for AI-Enabled Warfare

Justin G. Peacock, Sierra C. Simmons, Rebekah Cole, Joshua Duncan et al.
2 citations
Military Medicine
Artificial Intelligence in Healthcare and Education
1.31
article

Readying Military Medicine for AI-Enabled Warfare

Justin G. Peacock, Sierra C. Simmons, Rebekah Cole, Joshua Duncan, J. W. Cole
article en
2 citations

Abstract

Artificial intelligence (AI) is transforming the character of warfare through autonomous systems, real-time data analytics, and algorithmic decision-making, creating new operational, ethical, and clinical challenges for military medicine. While modern battlefields become increasingly shaped by AI-enhanced targeting, autonomous weapons, and contested digital environments, current military medical education and doctrine have not evolved to address these developing threats. This commentary outlines the systemic vulnerabilities that limit military medicine's readiness for AI-enabled large-scale combat operations, including infrastructure gaps, data integrity challenges, cybersecurity threats, and a lack of doctrinal and educational alignment with the evolving battlespace. Drawing from recent conflicts and emerging technologies, we identify critical gaps in trauma training, medical logistics, and ethical preparedness and offers concrete recommendations for reform. Our education and training recommendations include embedding AI-focused scenarios into high-fidelity simulation exercises, training medical personnel in human-AI teaming, and emphasizing data stewardship as a key clinical competency. Through targeted curricular redesign, ethical education, and interdisciplinary collaboration, military medicine can adapt to the demands of AI-driven warfare and ensure operational readiness in future conflicts.

Military Medicine
Uniformed Services University of the Health Sciences (US)
Openalex Percentile: Top 14%
Artificial Intelligence in Healthcare and Education
1.31
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Readying Military Medicine for AI-Enabled Warfare — Justin G. Peacock, Sierra C. Simmons, et al. · Military Medicine (2025) | TGRS Research Map | TGRS