Latest AI and machine learning research in military medicine for healthcare professionals.
The rapid advancement of the Internet of Medical Things (IoMT) has revolutionized remote healthcare monitoring, enabling real-time disease detection and patient care. This research introduces a novel AI-driven telemedicine framework that integrates IoMT, cloud computing, and wireless sensor networks for efficient healthcare monitoring. A key innovation of this study is the Transformer-based Self-A...
AI-powered smart glasses are emerging as a highly promising advancement in the field of digital health management, owing to their capabilities in real-time monitoring, chronic disease management, and personalized treatment planning. To comprehensively understand the current state of development, we systematically searched multiple databases, including Web of Science, PubMed, and IEEE Xplore, to co...
Artificial intelligence (AI) has demonstrated a disruptive ability to enhance and transform clinical medicine. While the dexterous nature of anesthesi...
Parkinson's disease (PD), a progressive neurodegenerative disorder, affects millions globally, with cognitive impairment as a significant non-motor co...
Regional anaesthesia (RA) is a powerful tool in combat casualty care. As contemporary warfare evolves towards major engagements and delayed evacuation...
The rapid growth of medical imaging data presents challenges for efficient storage and transmission, particularly in clinical and telemedicine applica...
Arthritis is a complex group of disorders characterized by inflammation of the joints and poses a significant burden on global health. The most preval...
Radiology has evolved from the pioneering days of X-ray imaging to a field rich in advanced technologies on the cusp of a transformative future driven...
BACKGROUND: With the increasing prevalence of patients on home mechanical ventilation (HMV), changing indications, shortage of hospital resources, and...
In recent years, the medical field has seen significant advancements in the field of robotics and artificial intelligence (AI). However, many healthca...
This study examined whether baseline demographic and clinical variables could predict clinically significant reductions in insomnia symptoms among ve...
Post-traumatic stress disorder (PTSD) is a delayed-onset or prolonged persistent psychiatric disorder caused by individuals experiencing an unusually ...
Ophthalmological care has significant potential to consume energy, utilize resources, and generate waste, thereby contributing to a substantial portio...
PURPOSE: ChatGPT and other large language models (LLMs) have gained immense popularity since their commercial release in 2022, with applications in va...
Currently, the most actively investigated rapidly acting antidepressants, anxiolytics and/or anti PTSD agents, include psychedelics e.g. psilocybin, L...
Deployment to the Southwest Asia Theater of Military Operations is associated with new-onset respiratory symptoms, yet commonly-used parameters on pul...
The real-time forecasting of critical physiological indicators in intensive care units (ICUs) is essential for early intervention and clinical decisio...
Individuals with eating disorders (ED) and co-occurring post-traumatic stress disorder (PTSD) often face difficulties with sensory overload and emotio...
Despite advances in machine learning and computer vision for biomedical imaging, machine reading and learning of colors remain underexplored. Color co...
Trustworthiness has become a key concept for the ethical development and application of artificial intelligence (AI) in medicine. Various guidelines h...