Latest AI and machine learning research in military medicine for healthcare professionals.
BACKGROUND: Age-related macular degeneration (AMD) is a leading cause of irreversible blindness worldwide. Retinal imaging and deep learning (DL) may support scalable screening, but deployment requires evidence on pooled performance. This is important because missed neovascular disease may delay treatment, whereas excessive false positives may overload referral pathways. OBJECTIVE: This study aime...
Accurate classification of physiological signals in real-world deployments is challenged by sensor noise, motion artifacts, and distribution shifts between training and deployment data. Inference-time augmentation (ITA), which applies augmentations during inference rather than retraining, offers a simple, model-agnostic mechanism to improve robustness. However, ITA application to physiological sig...
Falls remain a leading cause of injury-related morbidity and mortality among adults aged 65 and older, and these human and economic costs keep rising ...
BACKGROUND: Accurate prehospital trauma triage and communication determine morbidity, mortality, and system efficiency. Advancements in large language...
BACKGROUND: Embodied intelligence-artificial intelligence instantiated in physical or virtual bodies that can perceive, communicate, and interact with...
The increasing use of cloud computing in hospitals, telemedicine, the Internet of Medical Things (IoMT) and real-time patient monitoring has made for ...
The dynamic environment of medicine, particularly in settings such as the Emergency Department, challenges physicians with an influx of patient data a...
BACKGROUND: Trustworthy artificial intelligence (AI) in health care requires assurance frameworks that translate ethical principles into measurable go...
Accurate International Society of Urological Pathology (ISUP)-grade classification of renal cell carcinoma (RCC) is challenging due to subtle histopat...
Hemodialysis demand is rising as populations age and the chronic kidney disease burden increases, yet dialysis units face persistent workforce constra...
BACKGROUND: Accurate proptosis measurement is vital for managing thyroid eye disease (TED) and other orbital conditions. However, current approaches h...
BACKGROUND: The rapid integration of artificial intelligence (AI) in clinical settings presents unprecedented opportunities, yet it concurrently trigg...
BackgroundAsynchronous telemedicine may support home-based pediatric palliative care (PPC) by improving access to professional guidance and reducing c...
Autonomous artificial intelligence (AI) systems for retinal image interpretation are being deployed in routine clinical practice, fundamentally alteri...
Every year, millions of patients pass through emergency departments and intensive care units where clinicians must make life-altering decisions under ...
The global health workforce is approaching a breaking point, driven by administrative overload, inefficient workflows, burnout, and accelerating retir...
BACKGROUND: Early detection of sepsis in pediatric intensive care units (PICUs) is critical, but challenging due to its nonspecific clinical presentat...
OBJECTIVE: Acute kidney injury (AKI) is a severe complication following coronary artery bypass grafting(CABG) While machine learning models trained on...
Despite strong evidence supporting the use of trauma-focused evidence-based psychotherapies (EBPs) to treat posttraumatic stress disorder (PTSD), heal...
OBJECTIVE: To describe an exploratory initial experience with two complementary digital platforms consisting of an AI-based telemedicine system and an...