Latest AI and machine learning research in military medicine for healthcare professionals.
BACKGROUND: Conflict zones severely disrupt healthcare access, with millions affected by armed conflicts. The lack of standardized medical guidance exacerbates these challenges. Digital health solutions like chatbots and telemedicine offer potential to bridge gaps in care by providing real-time medical support. Low-code platforms further enable rapid development of critical tools for frontline res...
BACKGROUND: The Pediatric Assessment Triangle (PAT) is a rapid visual assessment framework designed to support early identification of critically ill or injured children in emergency departments. It enables clinicians to quickly evaluate appearance, work of breathing, and circulation to the skin, forming the foundation for immediate triage and management decisions. This narrative review synthesize...
PURPOSE: Exchange maneuvers during intracranial angioplasty and stent deployment can cause unintended distal tip motion, potentially leading to vessel...
Diabetic foot ulcers, resulting from neuropathic and/or vascular complications in patients with diabetes mellitus, pose a major global health challeng...
Accurate and efficient grain quality assessment is critical for making informed decisions throughout the grain value chain. Early detection of disease...
BACKGROUND: Digital health tools integrating electronic patient-reported outcome and experience measures (ePROMs/ePREMs) enable longitudinal monitorin...
BACKGROUND: AI-based burn depth assessment is rapidly emerging, yet evidence for diagnostic accuracy, generalizability, and deployment readiness remai...
The promotion and application of pulmonary function tests (PFTs) in China have achieved preliminary success;however, numerous deficiencies persist in ...
UNLABELLED: Electronic Health Records (EHRs) provide rich opportunities for developing risk prediction tools to support clinical decision-making, yet ...
BACKGROUND: Visual identification and verification of medications during dispensing and administration are prone to human error, particularly in high-...
Machine learning-based Intrusion Detection Systems (IDS) often report high detection accuracy under controlled, single-dataset evaluation, yet experie...
BACKGROUND: Health care professionals' perceptions of telemedicine, its usability, and the presence of organizational barriers are important determina...
BACKGROUND: Autism spectrum disorder (ASD) is often underdiagnosed in low- and middle-income countries due to limited specialist access, sociocultural...
Cancer therapy-related cardiac dysfunction remains a major cause of morbidity among cancer survivors and may interrupt life-saving oncologic therapy o...
Clinical artificial intelligence (AI) applications frequently fail to transition from short-term pilot projects into sustained components of routine c...
Background: Collaboration between nurse practitioners (NPs) and pharmacists is essential for comprehensive patient care, especially in telehealth sett...
BACKGROUND: Rare diseases affect more than 300 million people globally, and only about 5% have approved therapies. Lysosomal storage disorders (LSDs) ...
OBJECTIVE: Studies investigating resting-state functional connectivity of the amygdala and hippocampus have produced inconsistent findings. The author...
IMPORTANCE: Retinopathy of prematurity (ROP) screening requires frequent examinations to avoid missed treatment-requiring disease, but this approach i...
BACKGROUND: Artificial intelligence (AI) technologies continue to transform how we research human disease, diagnose and treat patients, and operate ho...