Artificial Intelligence in Military Medicine.

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 operates through evolving algorithms that process extensive datasets, continuously improving accuracy and emulating human learning processes. Generative AI, a type of machine learning, uses algorithms to generate new content, such as images, text, videos, audio, and computer code. These models employ deep learning to encode simplified representations of training data and generate new work resembling the original without being identical. Although many AI applications in military medicine are theoretical, the U.S. Military has implemented several initiatives, often without widespread awareness among its personnel. This article aims to shed light on two resilience initiatives spearheaded by the Joint Artificial Intelligence Center, which is now the Chief Digital and Artificial Intelligence Office. These initiatives aim to enhance commanders' dashboards for predicting troop behaviors and develop models to forecast troop suicidality. Additionally, it outlines 5 key AI applications within military medicine, including (1) clinical efficiency and routine decision-making support, (2) triage and clinical care algorithms for large-scale combat operations, (3) patient and resource movements in the medical common operating picture, (4) health monitoring and biosurveillance, and (5) medical product development. Even with its promising potential, AI brings forth inherent risks and limitations that require careful consideration and discussion. The article also advocates for a forward-thinking approach for the U.S. Military to effectively leverage AI in advancing military health and overall operational readiness.

Disguised Among the Sea: The Implications of Artificial Islands on Casualty Care in the Indo-Pacific.

As reported in the 2022 Biden-Harris National Security Strategy, China is perceived as the primary U.S. competitor with the intent and means to become the world's greatest superpower. China's efforts, which are at odds with America's ambition to maintain its global influence, are complemented by ostensibly harmless "gray zone tactics," defined as coercive geopolitical, economic, military, and cyber activities below the use of kinetic military force. Such tactics may be utilized with seemingly innocuous intentions, but in reality, they can complicate U.S. combat casualty care in the event of an Indo-Pacific conflict. One tactic of particular impact is China's development of artificial islands throughout the South China Sea. By creating these islands, China is expanding its reach beyond its continental borders. These islands, alongside China's well-developed naval and missile capabilities, will cause disruptions to U.S. casualty care staging, medical resupply, and aeromedical evacuations. To mitigate those threats, the USA should implement a robust regional Combatant Command Trauma System, improve global health security cooperation with local partner nations, and implement irregular or guerilla trauma systems that meet medical needs in impromptu, clandestine settings. Operational recommendations based on these efforts could include pre-positioning tactical combat casualty care and damage control resuscitation supplies and developing with nearby host-nation evacuation platforms such as small boat operators. These solutions, among others, require years of training, relationship-building, and capability development to institute successfully. As a result, U.S. Military leaders should act now to incorporate these strategies into their irregular warfare, low-intensity conflict, and large-scale combat operation toolkits.

Framework for the evaluation of military health systems.

The organisation of a military health system (MHS) differs from the civilian system due to the role of the armed forces, the unique nature of the supported population and their occupational health requirements. A previously published review of the Military Medical Corps Worldwide Almanac demonstrated the value of a standardised framework for evaluation and comparison of MHSs. This paper proposes such a framework which highlights the unique features of MHSs not covered by health services research of national health systems. These include: national context and summary; organisational structure; firm base facilities, healthcare beneficiaries and medical research; operational capabilities, overseas deployments, collaborations and alliances; personnel including recruitment, training and education; and history and culture. This common framework can help facilitate international collaboration between military medical services including capability development, training exercises and mutual support during military operations. It can also inform national contributions to future editions of the Almanac.

An Analysis of International Military Health Systems Using the Military Medical Corps Worldwide Almanac.

INTRODUCTION: A number of organizations publish comparisons of civilian health systems between countries. However, the authors were unable to find a global, systematic, and contemporary analysis of military healthcare systems. Although many databases exist for comparing national healthcare systems, the only such compilation of information for military medical systems is the Military Medical Almanac. A thorough review of the Almanac was conducted to understand the quality of information provided in each country's profile and to develop a framework for comparing between countries. This information is valuable because it can facilitate collaboration and lesson sharing between nations while providing a structured source of information about a nation's military medical capabilities for internal use. MATERIALS AND METHODS: Each of the 142 profiles (submitted by 132 countries) published in the Almanac were reviewed. The information provided was extracted and aggregated into a spreadsheet that covered the broader categories of country background, force demographics, beneficiary populations, administration and oversight, physical structures and capabilities, research capabilities, and culture and artifacts. An initial sample of 20 countries was evaluated to test these categories and their subsections before the rest of the submissions were reviewed. Clear definitions were revised and established for each of the 69 subcategories. Qualitative and quantitative data were compiled in the spreadsheet to enable comparisons between entries. RESULTS: Significant variation was found in how information was presented in country profiles and to what extent this was comparable between submissions. The most consistently provided information was in the country background, where the categories ranged from 90.15% to 100% completion across submissions. There was inconsistency in reporting of the numbers and types of healthcare workers employed within military medical services. Nearly 25% of nations reported providing medical care to family members of service members, but retirees, veterans, reservists, and law enforcement personnel were also mentioned. Some countries described organizational structures, military medical education institutions, and humanitarian operations. A few reported military medical research capabilities, though each research domain was present in 25% or less of all submissions. Interestingly, cultural identities such as emblems were present in nearly 90% of profiles, with many countries also having badges, symbols, and mottos. CONCLUSIONS: The Military Medical Almanac is potentially a highly valuable collection of publicly available baseline information on military medical services across the world. However, the quality of this collection is highly dependent on the submission provided by each country. It is recommended that the template for collecting information on each health system be refined, alongside an effort to increase awareness of the value of the Almanac as an opportunity to raise the international profile of each country's military medical system. This will ensure that the Almanac can better serve the international military medical community.

An inflammatory pulmonary insult post-traumatic brain injury worsens subsequent spatial learning and neurological outcomes.

BACKGROUND: Severe traumatic brain injury (TBI) patients are at high risk for early aspiration and pneumonia. How pneumonia impacts neurological recovery after TBI is not well characterized. We hypothesized that, independent of the cerebral injury, pneumonia after TBI delays and worsens neurological recovery and cognitive outcomes. METHODS: Fifteen CD1 male mice were randomized to sham craniotomy or severe TBI (controlled cortical impact [CCI] - velocity 6 m/s, depth 1.0 mm) ± intratracheal lipopolysaccharide (LPS-2 mg/kg in 0.1 mL saline) as a pneumonia bioeffector. Neurological functional recovery by Garcia Neurologic Testing (GNT) and body weight loss were recorded daily for 14 days. On Days 6-14, animals underwent Morris Water Maze learning and memory testing with cued trials (platform visible), spatial learning trials (platform invisible, spatial cues present), and probe (memory) trials (platform removed, spatial clues present). Intergroup differences were assessed by the Kruskal-Wallis test with Bonferroni correction (p < 0.05). RESULTS: Weight loss was greatest in the CCI + LPS group (maximum 24% on Day 3 vs. 8% [Sham], 7% [CCI], both on Day 1). GNT was lowest in CCI + LPS during the first week. Morris Water Maze testing demonstrated greater spatial learning impairment in the CCI + LPS group vs. Sham or CCI counterparts. Cued learning and long-term memory were worse in CCI + LPS and CCI as compared to Sham. CONCLUSION: A pneumonia bioeffector insult after TBI worsens weight loss and mortality in a rodent model. Not only is spatial learning impaired, but animals are more debilitated and have worse neurologic performance. Understanding the adverse effects of pneumonia on TBI recovery is the first step d patients.

Cerebral Edema and Neurological Recovery after Traumatic Brain Injury Are Worsened if Accompanied by a Concomitant Long Bone Fracture.

Progression of severe traumatic brain injury (TBI) is associated with worsening cerebral inflammation, but it is unknown how a concomitant bone fracture (FX) affects this progression. Enoxaparin (ENX), a low molecular weight heparin often used for venous thromboembolic prophylaxis, decreases penumbral leukocyte (LEU) mobilization in isolated TBI and improves neurological recovery. We investigated if TBI accompanied by an FX worsens LEU-mediated cerebral inflammation and if ENX alters this process. CD1 male mice underwent controlled cortical impact (CCI) or sham craniotomy with or without an open tibial FX, and received either ENX (1 mg/kg, three times/day) or saline for 2 days following injury. Randomization defined four groups (Sham, CCI, CCI+FX, CCI+FX+ENX, n = 10/group). Two days after CCI, neurological recovery was assessed with the Garcia Neurological Test (GNT); intravital microscopy (LEU rolling and adhesion, microvascular leakage) and blood hemoglobin levels were also evaluated. Penumbral cerebral neutrophil sequestration (Ly-6G immunohistochemistry [IHC]) were evaluated post-mortem. In vivo LEU rolling was greater in CCI+FX (45.2 ± 4.8 LEUs/100 µm/min) than in CCI alone (26.5 ± 3.1, p = 0.007), and was suppressed by ENX (23.2 ± 5.5, p = 0.003 vs. CCI + FX). Neurovascular permeability was higher in CCI+FX (71.1 ± 2.9%) than CCI alone (42.5 ± 2.3, p < 0.001). GNT scores were lower in CCI+FX (15.2 ± 0.2) than in CCI alone (16.3 ± 0.3, p < 0.001). Hemoglobin was lowest in the CCI+FX+ENX group, lower than in Sham or CCI. IHC demonstrated greatest polymorphonuclear neutrophil (PMN) invasion in CCI+FX in uninjured cerebral territories. A concomitant long bone FX worsens TBI-induced cerebral LEU mobilization, microvascular leakage, and cerebral edema, and impairs neurological recovery at 48 h. ENX suppresses this progression but may increase bleeding.

A concomitant bone fracture delays cognitive recovery from traumatic brain injury.

BACKGROUND: Brain injury progression after severe traumatic brain injury (TBI) is associated with worsening cerebral inflammation but it is unknown how a concomitant bone fracture (BF) affects this progression. Enoxaparin (ENX) decreases penumbral leukocyte mobilization after TBI and improves neurologic recovery. We hypothesized that a concomitant BF worsens learning/memory recovery weeks after TBI and that ENX improves this recovery. METHODS: CD1 male mice underwent controlled cortical impact or sham craniotomy with or without tibial fracture, receiving either daily ENX (0.8 mg/kg) or saline for 14 days after injury. Randomization defined four groups (Sham, TBI only, TBI + Fx, TBI + Fx + ENX, n = 5/each). Body weight loss and neurologic recovery (Garcia Neurologic Test, max score = 18) were assessed each day. Mouse learning (swimming time [s] and total distance [m] to reach the submerged platform Days 14 to 17 after TBI) and memory (swimming time [s] in platform quadrant after platform removed [probe]) was assessed by the Morris water maze. Ly-6G (cerebral neutrophil sequestration) and glial fibrillary acidic protein were evaluated by immunohistochemistry in brain tissue post mortem. Analysis of variance with Tukey's post hoc test determined significance (p < 0.05). RESULTS: A concurrent BF worsened Garcia Neurologic Test scores post-TBI Days 2 to 4 (p < 0.01) as compared with TBI only, and ENX reversed this worsening on Day 4 (p < 0.01). Learning was significantly slower (greater swimming time and distance) in TBI + Fx versus TBI only on Day 17 (p < 0.01). This was despite similar swimming velocities in both groups, indicating intact extremity motor function. Memory was similar in isolated TBI and Sham which was significantly better than in TBI + Fx animals (p < 0.05). Glial fibrillary acidic protein-positive cells in penumbral cortex were most prevalent in TBI + Fx animals, significantly greater than in Sham (p < 0.05). CONCLUSION: A long BF accompanying TBI worsens early neurologic recovery and subsequent learning/memory. Enoxaparin may partially counter this and improve neurologic recovery.

Weight gain in first-semester university students: Positive sleep and diet practices associated with protective effects.

For university students, alterations in sleep and diet quality are common, and the propensity for weight gain is well established. The role of sleep duration during periods of rapid weight gain is understudied. This study explored the relationships between sleep duration, diet patterns, and body composition in first-year university students. Data collection occurred during the beginning of the fall (August) and spring semesters (January). Anthropometric measures included weight, height, and percent body fat (%BF). Survey questions assessed sleep and diet quality. As a group, participants (N = 60) gained weight (1.8 ±â€¯2.1 kg) over the 4.5-month period of study. Hierarchical cluster analysis (HCA) identified three groups based on weight change between baseline and follow-up visits. Group 1 ("maintainers") (N = 21) gained 0.1 ±â€¯1.3 kg, group 2 ("modest gainers") (N = 24) gained 2.0 ±â€¯1.7 kg, and group 3 ("major gainers") (N = 15) gained 3.8 ±â€¯1.8 kg. No differences in weight, body mass index (BMI), %BF, or average sleep duration existed between clusters at baseline. Minimal differences in baseline dietary behaviors between groups were noted other than maintainers used more fat, e.g., butter, to season vegetables, bread, and potatoes compared to modest gainers (p = .010). At follow-up, sleep duration significantly decreased from baseline among major gainers (7.1 ±â€¯0.7 vs. 6.8 ±â€¯0.7 h, p = .017) while sleep duration increased from baseline among maintainers (7.3 ±â€¯0.9 vs. 7.6 ±â€¯1.0 h, p = .048). Sleep duration at follow-up was significantly shorter among major gainers compared to maintainers (p = .016). Total diet scores for maintainers and modest gainers improved between visits (p = .038 and 0.002, respectively) but did not change among major gainers. Combining sleep and diet education may increase the effectiveness of interventions designed to mitigate weight gain in this high-risk population.

Validation of Self-Reported Anthropometrics in Female College Freshmen.

Most investigations concerning the validity of self-reported anthropometrics focus on weight, height, and body mass index. This study extends those investigations by exploring the impact of self-reporting bias on the disease risk indicators of waist circumference and body fat percentage. Female college freshmen (n=128) self-reported weight and height, then underwent measurements for weight, height, waist circumference, and body fat percentage. Self-reporting bias was defined as self-reported minus directly-assessed anthropometric value. Despite no differences in self-reported versus directly-assessed weight or height for the total group, students with high waist circumference and excess fat under-reported their weight by 2.3±4.4 lb (p<0.05). Self-reporting bias was negatively correlated with waist circumference (r=-0.362; p<0.001) and body fat percentage (r=-0.317; p<0.001). Although many female college freshmen accurately represent their weight, those with excess fat and waist circumference under-reported their weight. This may lead to missed opportunities for risk identification, prevention, and intervention.