INTRODUCTION: Concerns regarding suicide rates and declining mental health among service members highlight the need for impactful approaches to address behavioral health needs of U.S. military populations and to improve force readiness. Research in c...
BACKGROUND: Artificial Intelligence (AI) has become a key component of the U.S. Army Medical Modernization Strategy, which seeks to enhance military health care through innovative technologies. Within the Military Health System (MHS), AI applications...
INTRODUCTION: Joint Knowledge, Skills, and Abilities (JKSA) scoring of clinical workload data is a robust metric for military readiness assessment. However, the calculation of these scores requires a data analysis skillset that is not widely availabl...
INTRODUCTION: Artificial intelligence (AI) technologies have spread throughout the world and changed the way that many social functions are conducted, including health care. Future large-scale combat missions will likely require health care professio...
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...
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...
INTRODUCTION: Detection of occult hemorrhage (OH) before progression to clinically apparent changes in vital signs remains an important clinical problem in managing trauma patients. The resource-intensiveness associated with continuous clinical patie...
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 ...
The success of deep-learning algorithms in analyzing complex structured and unstructured multidimensional data has caused an exponential increase in the amount of research devoted to the applications of artificial intelligence (AI) in medicine in the...
BACKGROUND: Identification of pediatric trauma patients at the highest risk for death may promote optimization of care. This becomes increasingly important in austere settings with constrained medical capabilities. This study aimed to develop and val...