AIMC Topic: Military Personnel
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Early identification of posttraumatic stress following military deployment: Application of machine learning methods to a prospective study of Danish soldiers.
Journal of affective disorders
Jun 10, 2015
BACKGROUND: Pre-deployment identification of soldiers at risk for long-term posttraumatic stress psychopathology after home coming is important to guide decisions about deployment. Early post-deployment identification can direct early interventions t...
Domesticating the Drone: The Demilitarisation of Unmanned Aircraft for Civil Markets.
Science and engineering ethics
Nov 5, 2014
Remotely piloted aviation systems (RPAS) or 'drones' are well known for their military applications, but could also be used for a range of non-military applications for state, industrial, commercial and recreational purposes. The technology is advanc...
EEG-based prediction of reaction time during sleep deprivation.
Sleep
Jul 11, 2025
Prolonged wakefulness is known to adversely affect basic cognitive abilities such as object recognition and decision-making. It affects the dynamics of neuronal networks in the brain and can even lead to hallucinations and epileptic seizures. In cogn...
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...
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