Latest AI and machine learning research in emergency medicine for healthcare professionals.
This paper reported a study on the 3-dimensional deep-learning-based automatic diagnosis of nasal fr...
Emerging infectious diseases (EIDs), including the latest COVID-19 pandemic, have emerged and raised...
BACKGROUND: For the robot-assisted fracture reduction, due to the complex fracture musculoskeletal e...
The first ever insurance reimbursement for an artificial intelligence (AI) system, which expedites t...
PURPOSE: To assess an FDA-approved and CE-certified deep learning (DL) software application compared...
PURPOSE: To compare the image quality between a deep learning-based image reconstruction algorithm (...
Emamectin benzoate (EMB) is a potent neurotoxin agent, widely used for ectoparasites control in aqua...
Drug-resistant superbugs (DRS) were isolated from hospital sewage waste and confirmed by a 16S rDNA ...
BACKGROUND: Detection and quantification of intra-abdominal free fluid (ie, ascites) on computed tom...
The highly rapid spread of the current pandemic has quickly overwhelmed hospitals all over the world...
A 76-year-old lady was found on the floor following a fall at home. She was uninjured, but unable to...
Artificial intelligence (AI) for breast imaging has rapidly moved from the experimental to implement...
We derived machine learning models utilizing features generated by natural language processing (NLP)...
Big data (BD) and artificial intelligence (AI) have increasingly been used in neurocritical care. "B...
BACKGROUND: Emergency department (ED) crowding has resulted in delayed patient treatment and has bec...
In the last two decades, cochlear implant surgery has evolved into a minimally invasive, hearing pre...
PURPOSE: Ventilator-associated pneumonia is the most common nosocomial infection in patients with me...
The application of artificial intelligence (AI) technology in the medical field has experienced a lo...
Background Missed fractures are a common cause of diagnostic discrepancy between initial radiographi...
In recent years, fracture image diagnosis using a convolutional neural network (CNN) has been report...
Identifying critically ill patients is a key challenge in emergency department (ED) triage. Mis-tria...