Latest AI and machine learning research in military medicine for healthcare professionals.
Constructing memristive neural networks (MNNs) with multiscroll chaotic attractors helps advance both theoretical and applied research on neural networks. However, the existing models mainly utilize complex memristor models with polynomial functions, nested composite functions, and so on, to generate multiscroll chaotic attractors, which leads to increased model complexity and difficulties in on-d...
PURPOSE: To evaluate the impact of deep learning reconstruction (DLR) on MRI productivity at a tertiary care academic hospital, and to validate a previously published Monte Carlo-based forecast of the productivity enhancement potential of DLR. METHODS: Scanner log data were analyzed for two periods: pre-DLR adoption (January-October 2023, six scanners) and post-DLR (January-October 2025, five scan...
Artificial intelligence (AI) is rapidly reshaping the landscape of health care, from clinical diagnostics and disease surveillance to the prediction o...
ChatGPT Health launched in January 2026 as OpenAI's consumer health tool, reaching millions of users. Here, we conducted a structured stress test of t...
Sleep engineering could be developed to provide a drug-free, non-invasive avenue to treat depression and post-traumatic stress disorder. Such an inter...
Artificial Intelligence (AI) has the potential to revolutionize biosecurity, health security, biodefense, and pandemic preparedness by offering ground...
Rapid and reliable detection of kidney stones on non-contrast abdominal CT is essential for timely decision-making in emergency radiology. However, ri...
Background: Cognitive Processing Therapy (CPT) is an effective, widely supported treatment for PTSD, but patient response varies considerably. Optimal...
Efficient utilization of renewable biomass resources requires advanced modeling and monitoring frameworks for resource optimization and sustainable ma...
Respiratory rate (RR) is a key indicator for assessing health conditions, yet noncontact measurement remains challenging due to motion artifacts, ligh...
Artificial intelligence (AI) systems increasingly match or exceed human performance in narrowly defined radiological tasks, accelerating their clinica...
BACKGROUND: Nephrolithiasis affects approximately 15% of the population and often remains undetected in asymptomatic individuals. Current diagnostic a...
BACKGROUND: The exponential growth of medical data and advancements in artificial intelligence (AI) have accelerated the development of data-driven he...
Cardiovascular disease (CVD) remains a leading cause of morbidity and mortality in Africa, accounting for over 1 million deaths annually. As CVD preva...
Ophthalmology significantly contributes to the healthcare sector's carbon footprint. Despite recent increases in sustainability research in ophthalmol...
The deployment of potassium ion (K+) sensors in demanding environments, such as marine resource utilization, energy storage systems, and industrial pr...
BACKGROUND: Technological advancements and legislation have led to the widespread use of electronic health records (EHRs) in the 21st century. Along w...
The deployment of artificial intelligence (AI) translation tools in healthcare is accelerating rapidly, yet regulatory frameworks lag dangerously behi...
Accurate prediction of athlete performance is a challenges issue of significance in sports science and analytics and has application in training desig...
Mask-integrated respiratory sensors are promising for noninvasive monitoring of respiratory health outside of clinical settings, for example, to suppo...