Latest AI and machine learning research in military medicine for healthcare professionals.
BACKGROUND: Generalisation of artificial intelligence (AI) models to a new setting is challenging. In this study, we seek to understand the robustness of a dermatology (AI) model and whether it generalises from telemedicine cases to a new setting including both patient-submitted photographs ("PAT") and clinician-taken photographs in-clinic ("CLIN").
The rapid advancement of the 5G technology is catalyzing a paradigm shift in the realm of remote surgery, offering the potential to overcome geographical constraints and to realize optimized allocation of global healthcare resources. We review the evolution of telesurgery, from early pioneering efforts to recent advancements made possible by 5G networks, which offer low latency and high data trans...
BACKGROUND: Climate change, driven by greenhouse gas emissions, threatens human health and biodiversity. While the digitalization of health care, incl...
Intrusion detection in Wireless Sensor Networks (WSNs) is an emerging area of research, given their extensive use in sensitive fields like military su...
Telemedicine has become an increasingly important component of musculoskeletal care, with recent advances in virtual physical examinations, enhanced p...
BACKGROUND: Candida endophthalmitis (CE) and chorioretinitis are uncommon but potentially devastating complications of candidemia, associated with sig...
Artificial intelligence (AI) has emerged as a transformative force in the management of movement disorders. This review explores the various applicati...
This paper examines the medical response to four significant burn disasters in the North Carolina: the Pope Air Force Base disaster, the ConAgra/Garne...
PURPOSE: A critical limitation to deployment and utilization of Artificial Intelligence (AI) algorithms in radiology practice is the actual integratio...
As the integration of artificial intelligence (AI) into radiology workflows continues to evolve, establishing standardized processes for the evaluatio...
The utilization of large language model-based artificial intelligence (AI) in the field of neurology has gained attention as a viable tool to enhance ...
This study presents a real-time implementation of an accelerated Hurst Contour Projection from Multiscale Multifractal Analysis (HCP-MMA) for deep lea...
Microneedles (MNs) offer a minimally invasive alternative to conventional patch-based and injection-based drug delivery methods. By bypassing first-pa...
BACKGROUND: Human immunodeficiency virus (HIV), while now manageable as a chronic health condition with highly active antiretroviral therapy (HAART), ...
Artificial intelligence (AI) is transforming digital health, its influence is expanding across multiple sectors, with mental health and psychiatric ca...
: While early risk stratification in STEMI is essential, the threat of cardiogenic shock (CS) persists after revascularization due to reperfusion inju...
Neurofeedback (NF) based on brain-computer interface (BCI) is an important direction in adjunctive interventions for post-traumatic stress disorder (...
BACKGROUND: Current guidelines require physician confirmation for smartwatch-diagnosed atrial fibrillation (AF), increasing telemedicine workloads. Th...
The article presents results of analysis of current trends, challenges and prospects of health care digitization. The key directions of digital transf...
: A comorbidity between Borderline Personality Disorder (BPD) and Posttraumatic Stress Disorder (PTSD) is common, severely disabling, and hard to trea...