Opportunities for Artificial Intelligence in Operational Medicine: Lessons from the United States Military

Nikolai Rakhilin; H. Douglas Morris; Dzung L. Pham; Maureen N. Hood; Vincent B. Ho

doi:10.3390/bioengineering12050519

Opportunities for Artificial Intelligence in Operational Medicine: Lessons from the United States Military

Nikolai Rakhilin^*, H. Douglas Morris, Dzung L. Pham, Maureen N. Hood, Vincent B. Ho

^*Corresponding author for this work

Research output: Contribution to journal › Review article › peer-review

Abstract

Conducted in challenging environments such as disaster or conflict areas, operational medicine presents unique challenges for the delivery of efficient and quality healthcare. It exposes first responders and medical personnel to many unexpected health risks and dangerous situations. To tackle these issues, artificial intelligence (AI) has been progressively incorporated into operational medicine, both on the front lines and also more recently in support roles. The ability of AI to rapidly analyze high-dimensional data and make inferences has opened up a wide variety of opportunities and increased efficiency for its early adopters, notably for the United States military, for non-invasive medical imaging and for mental health applications. This review discusses the current state of AI and highlights its broad array of potential applications in operational medicine as developed for the United States military.

Original language	English
Article number	519
Journal	Bioengineering
Volume	12
Issue number	5
DOIs	https://doi.org/10.3390/bioengineering12050519
State	Published - May 2025
Externally published	Yes

Keywords

artificial intelligence
bioengineering
biomedical technology
disaster medicine
machine learning
military medicine

Access to Document

10.3390/bioengineering12050519

Cite this

@article{d313e386a81a482d8024b2381765b771,

title = "Opportunities for Artificial Intelligence in Operational Medicine: Lessons from the United States Military",

abstract = "Conducted in challenging environments such as disaster or conflict areas, operational medicine presents unique challenges for the delivery of efficient and quality healthcare. It exposes first responders and medical personnel to many unexpected health risks and dangerous situations. To tackle these issues, artificial intelligence (AI) has been progressively incorporated into operational medicine, both on the front lines and also more recently in support roles. The ability of AI to rapidly analyze high-dimensional data and make inferences has opened up a wide variety of opportunities and increased efficiency for its early adopters, notably for the United States military, for non-invasive medical imaging and for mental health applications. This review discusses the current state of AI and highlights its broad array of potential applications in operational medicine as developed for the United States military.",

keywords = "artificial intelligence, bioengineering, biomedical technology, disaster medicine, machine learning, military medicine",

author = "Nikolai Rakhilin and Morris, {H. Douglas} and Pham, {Dzung L.} and Hood, {Maureen N.} and Ho, {Vincent B.}",

note = "Publisher Copyright: {\textcopyright} 2025 by the authors.",

year = "2025",

month = may,

doi = "10.3390/bioengineering12050519",

language = "English",

volume = "12",

journal = "Bioengineering",

issn = "2306-5354",

number = "5",

}

TY - JOUR

T1 - Opportunities for Artificial Intelligence in Operational Medicine

T2 - Lessons from the United States Military

AU - Rakhilin, Nikolai

AU - Morris, H. Douglas

AU - Pham, Dzung L.

AU - Hood, Maureen N.

AU - Ho, Vincent B.

PY - 2025/5

Y1 - 2025/5

N2 - Conducted in challenging environments such as disaster or conflict areas, operational medicine presents unique challenges for the delivery of efficient and quality healthcare. It exposes first responders and medical personnel to many unexpected health risks and dangerous situations. To tackle these issues, artificial intelligence (AI) has been progressively incorporated into operational medicine, both on the front lines and also more recently in support roles. The ability of AI to rapidly analyze high-dimensional data and make inferences has opened up a wide variety of opportunities and increased efficiency for its early adopters, notably for the United States military, for non-invasive medical imaging and for mental health applications. This review discusses the current state of AI and highlights its broad array of potential applications in operational medicine as developed for the United States military.

AB - Conducted in challenging environments such as disaster or conflict areas, operational medicine presents unique challenges for the delivery of efficient and quality healthcare. It exposes first responders and medical personnel to many unexpected health risks and dangerous situations. To tackle these issues, artificial intelligence (AI) has been progressively incorporated into operational medicine, both on the front lines and also more recently in support roles. The ability of AI to rapidly analyze high-dimensional data and make inferences has opened up a wide variety of opportunities and increased efficiency for its early adopters, notably for the United States military, for non-invasive medical imaging and for mental health applications. This review discusses the current state of AI and highlights its broad array of potential applications in operational medicine as developed for the United States military.

KW - artificial intelligence

KW - bioengineering

KW - biomedical technology

KW - disaster medicine

KW - machine learning

KW - military medicine

UR - http://www.scopus.com/inward/record.url?scp=105006719166&partnerID=8YFLogxK

U2 - 10.3390/bioengineering12050519

DO - 10.3390/bioengineering12050519

M3 - Review article

AN - SCOPUS:105006719166

SN - 2306-5354

VL - 12

JO - Bioengineering

JF - Bioengineering

IS - 5

M1 - 519

ER -