Latest AI and machine learning research in emergency medicine for healthcare professionals.
Chest X-rays (CXRs) can help triage for Coronavirus disease (COVID-19) patients in resource-constrai...
Musculoskeletal trauma accounts for a significant fraction of emergency department visits and patien...
The volume of daily patient arrivals at Emergency Departments (EDs) is unpredictable and is a signif...
Pelvic fracture is one of the leading causes of death in the elderly, carrying a high risk of death ...
Diabetic retinopathy (DR) is the main cause of blindness in diabetic patients. Early and accurate di...
Magnetic nanoparticles modified with porous titanium dioxide were used as clean-up nanospheres for t...
The approach undertaken to deliver a Good Laboratory Practice (GLP) validation of whole slide images...
BACKGROUND: Efforts are ongoing to try and find ways to reduce the number of unnecessary prostate bi...
In recent years, various AI-based methods have been developed in order to uncover chemico-biological...
Medication therapy management (MTM) and comprehensive medication management (CMM) have been practic...
We aimed to develop a deep learning algorithm detecting 10 common abnormalities (DLAD-10) on chest r...
Heat shock proteins (HSPs) play a pivotal role as molecular chaperones against unfavorable condition...
We investigate the feasibility of molecular-level sample classification of sepsis using microarray g...
OBJECTIVES: To evaluate the performance of deep learning using ResNet50 in differentiation of benign...
Rib fractures are injuries commonly assessed in trauma wards. Deep learning has demonstrated state-o...
INTRODUCTION: Medical toxicology is the clinical specialty that treats the toxic effects of substanc...
Stroke is an acute cerebral vascular disease that is likely to cause long-term disabilities and deat...
BACKGROUND: Venous thromboembolism (VTE) is a common complication of hospitalized trauma patients an...
Chest-X ray (CXR) radiography can be used as a first-line triage process for non-COVID-19 patients w...
STUDY OBJECTIVE: This study aimed to develop and validate 2 machine learning models that use histori...
STUDY OBJECTIVE: To derive and internally and externally validate machine-learning models to predict...