Latest AI and machine learning research in emergency medicine for healthcare professionals.
Large language models (LLMs) possess a range of capabilities which may be applied to the clinical do...
Histopathologic evaluation plays a crucial role in assessing morphological tissue alterations in dis...
Melioidosis, a fatal tropical disease, presents a wide array of clinical manifestations, including a...
BACKGROUND: Several strategies have been proposed to increase chronic cognitive impairment (CI) scre...
Hematoma expansion (HE), including intraventricular hemorrhage (IVH) growth, significantly affects o...
BACKGROUND: Large-scale combat operations (LSCO) generate high casualty volumes, challenging battlef...
AIM: To analyze the characteristics of pediatric facial trauma and predict factors influencing them ...
The exploration of cell-type and environmentally responsive nuclear pore complex (NPC) plasticity re...
BACKGROUND: Machine learning could improve the timely identification of trauma patients in need of h...
Deployment to the Southwest Asia Theater of Military Operations is associated with new-onset respira...
BACKGROUND: Overcrowding and long wait times in emergency departments (EDs) remain global challenges...
Hydrogels are limited in practical applications due to insufficient mechanical properties. While mic...
BACKGROUND: Septic shock is a high-mortality syndrome, particularly in patients aged 50 and older. P...
Short-term mechanical circulatory support (stMCS) devices are increasingly utilized for haemodynamic...
Craniocerebral and pulmonary injuries are primary blast-induced damages, assessed via numerical simu...
BACKGROUND: Environmental pollutants, particularly from air pollution and tobacco smoke, have emerge...
Scanner-related changes in data quality are common in medical imaging, yet monitoring their impact o...
Kyphosis is a prevalent spinal condition where the spine curves in the sagittal plane, resulting in ...
OBJECTIVE: To develop models to predict opportunities for improvement in trauma care and compare the...
OBJECTIVES: Artificial intelligence (AI) may improve many aspects of point-of-care ultrasound (POCUS...
There is growing evidence of the performance accuracy and potential impact of Computer-Aided Diagnos...