AIMC Topic: Military Personnel
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Influence of AI behavior on human moral decisions, agency, and responsibility.
Scientific reports
Apr 10, 2025
There is a growing interest in understanding the effects of human-machine interaction on moral decision-making (Moral-DM) and sense of agency (SoA). Here, we investigated whether the "moral behavior" of an AI may affect both moral-DM and SoA in a mil...
Assessment of PTSD in military personnel via machine learning based on physiological habituation in a virtual immersive environment.
Scientific reports
Mar 4, 2025
Posttraumatic stress disorder (PTSD) is a complex mental health condition triggered by exposure to traumatic events that leads to physical health problems and socioeconomic impairments. Although the complex symptomatology of PTSD makes diagnosis diff...
Improving explainability of post-separation suicide attempt prediction models for transitioning service members: insights from the Army Study to Assess Risk and Resilience in Servicemembers - Longitudinal Study.
Translational psychiatry
Jan 30, 2025
Risk of U.S. Army soldier suicide-related behaviors increases substantially after separation from service. As universal prevention programs have been unable to resolve this problem, a previously reported machine learning model was developed using pre...
Machine learning for classifying chronic ankle instability based on ankle strength, range of motion, postural control and anatomical deformities in delivery service workers with a history of lateral ankle sprains.
Musculoskeletal science & practice
Nov 19, 2024
OBJECTIVE: Chronic ankle instability (CAI) frequently develops as a result of lateral ankle sprains (LAS) in delivery service workers (DSWs). Identifying risk factors for CAI is crucial for implementing targeted interventions. This study aimed to dev...
Application of machine learning in predicting health perception through military personnel's sense of empowerment.
Applied psychology. Health and well-being
Oct 31, 2024
The promotion of health and provision of care services for new recruits are issues of constant concern for military leaders and healthcare providers, as they are crucial to maintaining and operating military forces. The enhancement of military person...
Predicting special forces dropout via explainable machine learning.
European journal of sport science
Sep 24, 2024
Selecting the right individuals for a sports team, organization, or military unit has a large influence on the achievements of the organization. However, the approaches commonly used for selection are either not reporting predictive performance or no...
Future of service member monitoring: the intersection of biology, wearables and artificial intelligence.
BMJ military health
Sep 20, 2024
While substantial investment has been made in the early identification of mental and behavioural health disorders in service members, rates of depression, substance abuse and suicidality continue to climb. Objective and persistent measures are needed...
Design and testing of ultrasound probe adapters for a robotic imaging platform.
Scientific reports
Mar 1, 2024
Medical imaging-based triage is a critical tool for emergency medicine in both civilian and military settings. Ultrasound imaging can be used to rapidly identify free fluid in abdominal and thoracic cavities which could necessitate immediate surgical...
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.
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...
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