AIMC Topic: Military Personnel
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Operational safety risk modeling in a naval organization.
Journal of safety research
Jul 1, 2025
INTRODUCTION: Following numerous mishaps and near-misses, the U.S. Naval Surface Force established the Operational Surface Risk Indicators (OSRI) project to explore a robust proactive risk analysis and reduction capability. The OSRI model leverages m...
Machine learning applications related to suicide in military and Veterans: A scoping literature review.
Journal of biomedical informatics
Jul 1, 2025
OBJECTIVE: Suicide remains one of the main preventable causes of death among service members and veterans. Early detection and accurate prediction are essential components of effective suicide prevention strategies. Machine learning techniques have b...
Attention Regulation Among Sleep-Deprived Air-Force Pilots.
Journal of neuroscience research
Jun 1, 2025
Short sleep duration is associated with adverse physical and mental events. However, it is quite challenging to objectively quantify its impact on human cognitive performance. Thus, we aim to examine the effects of sleep deprivation on physiological ...
Estimating Treatment Effect Heterogeneity in Psychiatry: A Review and Tutorial With Causal Forests.
International journal of methods in psychiatric research
Jun 1, 2025
BACKGROUND: Flexible machine learning tools are increasingly used to estimate heterogeneous treatment effects.
Posture analysis in predicting fall-related injuries during French Navy Special Forces selection course using machine learning: a proof-of-concept study.
BMJ military health
May 21, 2025
INTRODUCTION: Injuries induced by falls represent the main cause of failure in the French Navy Special Forces selection course. In the present study, we made the assumption that probing the posture might contribute to predicting the risk of fall-rela...
Predicting Suicides Among US Army Soldiers After Leaving Active Service.
JAMA psychiatry
Dec 1, 2024
IMPORTANCE: The suicide rate of military servicemembers increases sharply after returning to civilian life. Identifying high-risk servicemembers before they leave service could help target preventive interventions.
Artificial Intelligence in Military Medicine.
Military medicine
Aug 30, 2024
Artificial intelligence (AI) has garnered significant attention for its pivotal role in the national security and health care sectors. However, its utilization in military medicine remains relatively unexplored despite its immense potential. AI opera...
Effect of Human Head Shape on the Risk of Traumatic Brain Injury: A Gaussian Process Regression-Based Machine Learning Approach.
Military medicine
Aug 19, 2024
INTRODUCTION: Computational head injury models are promising tools for understanding and predicting traumatic brain injuries. However, most available head injury models are "average" models that employ a single set of head geometry (e.g., 50th-percen...
Optimizing Concussion Care Seeking: Using Machine Learning to Predict Delayed Concussion Reporting.
The American journal of sports medicine
Jul 1, 2024
BACKGROUND: Early medical attention after concussion may minimize symptom duration and burden; however, many concussions are undiagnosed or have a delay in diagnosis after injury. Many concussion symptoms (eg, headache, dizziness) are not visible, me...
Unsupervised Machine Learning in Countermovement Jump and Isometric Mid-Thigh Pull Performance Produces Distinct Combat and Physical Fitness Clusters in Male and Female U.S. Marine Corps Recruits.
Military medicine
Jun 26, 2024
INTRODUCTION: Several challenges face the U.S. Marine Corps (USMC) and other services in their efforts to design recruit training to augment warfighter mobility and resilience in both male and female recruits as part of an integrated model. Strength ...
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