AIMC Topic: Military Personnel

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Predicting Homelessness Among Transitioning U.S. Army Soldiers.

American journal of preventive medicine Feb 3, 2024
INTRODUCTION: This study develops a practical method to triage Army transitioning service members (TSMs) at highest risk of homelessness to target a preventive intervention.
Machine Learning Female Young Adult Adult Humans United States Longitudinal Studies Military Personnel Ill-Housed Persons Male Prevalence Surveys and Questionnaires
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Responsible use of AI in military systems: prospects and challenges.

Ergonomics Jan 2, 2024
Artificial Intelligence (AI) holds great potential for the military domain but is also seen as prone to data bias and lacking transparency and explainability. In order to advance the trustworthiness of AI-enabled systems, a dynamic approach to the de...
Automation Awareness Reproducibility of Results Military Personnel Humans Artificial Intelligence
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Lay representations of artificial intelligence and autonomous military machines.

Public understanding of science (Bristol, England) May 17, 2023
This study is about how lay persons perceive and represent artificial intelligence in general as well as its use in weaponised autonomous ground vehicles in the military context. We analysed the discourse of six focus groups in Estonia, using an auto...
Male Emotions Military Personnel Humans Artificial Intelligence
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Developing AI enabled sensors and decision support for military operators in the field.

Journal of science and medicine in sport Mar 5, 2023
Wearable sensors enable down range data collection of physiological and cognitive performance of the warfighter. However, autonomous teams may find the sensor data impractical to interpret and hence influence real-time decisions without the support o...
Artificial Intelligence Humans Military Personnel
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Predicting surgical outcomes for chronic exertional compartment syndrome using a machine learning framework with embedded trust by interrogation strategies.

Scientific reports Dec 20, 2021
Chronic exertional compartment syndrome (CECS) is a condition occurring most frequently in the lower limbs and often requires corrective surgery to alleviate symptoms. Amongst military personnel, the success rates of this surgery can be as low as 20%...
Time Factors ROC Curve Treatment Outcome Support Vector Machine Middle Aged Exercise Surveys and Questionnaires Military Personnel Linear Models Leg Fasciotomy Lower Extremity Models, Statistical Area Under Curve Prognosis Female Reproducibility of Results Sensitivity and Specificity Male Young Adult Adult Humans Machine Learning Return to Work Chronic Exertional Compartment Syndrome
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User-Centered Design of a Machine Learning Intervention for Suicide Risk Prediction in a Military Setting.

AMIA ... Annual Symposium proceedings. AMIA Symposium Jan 25, 2021
Primary care represents a major opportunity for suicide prevention in the military. Significant advances have been made in using electronic health record data to predict suicide attempts in patient populations. With a user-centered design approach, w...
Risk Factors Humans User-Centered Design Risk Assessment Suicide Prevention Machine Learning Suicide, Attempted Predictive Value of Tests Electronic Health Records Military Personnel
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The implications of emerging technology on military human performance research priorities.

Journal of science and medicine in sport Oct 28, 2020
OBJECTIVES: To demonstrate the need for the military human performance research community to anticipate and evolve with the emergence of new and disruptive battlefield technologies that are changing the fundamental role of the human combatant.
Humans Military Personnel Military Medicine Artificial Intelligence Information Technology Research Design Robotics
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Using Machine Learning to Predict Suicide Attempts in Military Personnel.

Psychiatry research Oct 22, 2020
Identifying predictors of suicide attempts is critical in intervention and prevention efforts, yet finding predictors has proven difficult due to the low base rate and underpowered statistical approaches. The objective of the current study was to use...
Cognitive Behavioral Therapy Predictive Value of Tests Self Report Military Personnel Machine Learning Female Adult Suicidal Ideation Follow-Up Studies Male Suicide, Attempted Humans
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Machine learning prediction of combat basic training injury from 3D body shape images.

PloS one Jun 30, 2020
INTRODUCTION: Athletes and military personnel are both at risk of disabling injuries due to extreme physical activity. A method to predict which individuals might be more susceptible to injury would be valuable, especially in the military where basic...
Risk Assessment Adolescent ROC Curve Imaging, Three-Dimensional Machine Learning Humans Military Personnel Risk Factors Female Physical Endurance United States Anthropometry Young Adult Occupational Injuries Male Models, Statistical Physical Fitness
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Machine Learning Based Suicide Ideation Prediction for Military Personnel.

IEEE journal of biomedical and health informatics Apr 20, 2020
Military personnel have greater psychological stress and are at higher suicide attempt risk compared with the general population. High mental stress may cause suicide ideations which are crucially driving suicide attempts. However, traditional statis...
Surveys and Questionnaires Psychometrics Adolescent Military Personnel Stress, Psychological Suicidal Ideation Young Adult Adult Male Middle Aged Humans Machine Learning Female
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