Latest AI and machine learning research in military medicine for healthcare professionals.
Posttraumatic stress disorder (PTSD) and depression are common diagnoses following traumatic events, with several available evidence-based interventions to reduce symptomology. However, trauma populations face significant access barriers that limit their adoption and reach. Artificial intelligence (AI) technologies, such as large language models (LLMs), have the potential to enhance access, cost-e...
BACKGROUND: Artificial intelligence (AI) is increasingly utilized in surgical care for decision support, operative planning, intraoperative guidance, and autonomous functions. While these systems can enhance efficiency and clinical performance, they also introduce risks related to technology, human factors, legal issues, and ethics. Current regulatory and legal frameworks are not fully equipped to...
Burn injuries and chronic wounds impose a substantial and growing global health and economic burden, particularly in low- and middle-income countries ...
Real-time cyber-attack intrusion detection faces serious challenges in the smart grid communications infrastructure, as intrusion tactics become more ...
No-reflow phenomenon remains a common and prognostically adverse complication of percutaneous coronary intervention (PCI), characterized by impaired m...
BACKGROUND AND AIMS: Endoscopists' colonoscopy adenoma detection rates (ADR) are inversely associated with their patients' risk of post-colonoscopy co...
BACKGROUND: Large language models (LLMs) demonstrate potential in the laboratory, yet rigorous clinical evaluation remains limited. The opacity of LLM...
BACKGROUND: Snakebite envenoming is a significant global health crisis that has been long neglected as a global health priority. It is a huge problem ...
Voice-based authentication is widely used today but remains vulnerable to spoofing attacks like text-to-speech and voice conversion, threatening priva...
Jaggery, a traditional unrefined sugar produced from concentrated sugarcane juice, represents a critical economic sector supporting over 50 million ru...
BACKGROUND: Humanitarian settings are highly vulnerable to infectious disease outbreaks because displacement, crowding, disruption of health services,...
BACKGROUND: In an attempt to overcome the space-time limitations of traditional training we used a new telemedicine home-training model (Videotraining...
BACKGROUND: Gastric intestinal metaplasia (GIM) is often visually inconspicuous on routine endoscopy, while many artificial intelligence systems rely ...
OBJECTIVES: To operationalize and temporally validate an electronic medical record (EMR)-integrated machine learning system (Big data-driven Evaluatio...
BACKGROUND: Scaling youth mental health services in low-resource settings requires digital infrastructure that supports not just clinical delivery but...
BACKGROUND: Artificial intelligence (AI) is rapidly transforming health care and health research, offering new opportunities for improving efficiency,...
BACKGROUND: Post-traumatic stress disorder (PTSD) is a stressor-related disorder that affects a significant proportion of the population worldwide. De...
BACKGROUND: Large language models (LLMs) require specialized methodologies to quantify model confidence for safe deployment in health care systems; ho...
BACKGROUND: Neglected Tropical Diseases disproportionately affect populations in Africa and other low- and middle-income countries. Machine learning h...
Molecular docking is indispensable across computer‑aided discovery. However, its conclusions often hinge more on modeling choices than on software bra...