Latest AI and machine learning research in head trauma for healthcare professionals.
BACKGROUND: Currently, the treatment and care of patients with traumatic brain injury (TBI) are intr...
BACKGROUND: Mild traumatic brain injury (mTBI) comprises a majority of traumatic brain injury (TBI) ...
Computed tomography (CT) is used as a valuable tool for device selection for interventional therapy ...
The pathological cascade of spinal cord injury (SCI) is highly intricate. The onset of neuroinflamma...
OBJECTIVE: Wearable devices are developed to measure head impact kinematics but are intrinsically no...
Artificial intelligence (AI) is becoming increasingly integral in clinical practice, such as during ...
Postoperative nausea and vomiting (PONV) is a common adverse effect of anesthesia. Identifying risk ...
BackgroundA key decision facing nonthrombectomy capable (spoke) hospitals is whether to transfer a s...
The COVID-19 pandemic has disrupted people's lives and caused significant economic damage around the...
BACKGROUND: The prognostication of long-term functional outcomes remains challenging in patients wit...
BACKGROUND: Non-suicidal self-injury (NSSI) is common among adolescents receiving inpatient psychiat...
PURPOSE: To evaluate a deep learning-based pipeline using a Dense-UNet architecture for the assessme...
This study investigates driving behaviour in different stages of rear-end conflicts using vehicle tr...
PRIMARY OBJECTIVE: To evaluate the accuracy of an innovative machine-learning-powered near-infrared ...
BACKGROUND: This systematic review aimed to evaluate the performance of machine learning (ML) models...
BACKGROUND: Walking impairment is a common disability post acquired brain injury (ABI), with visuall...
Electrocardiogram (ECG) changes after primary percutaneous coronary intervention (PCI) in ST-segment...
Industrial robots are increasingly commonplace, but research on prototypical accidents and injuries ...
BACKGROUND: Traditional methodologies for diagnosing post-traumatic stress disorder (PTSD) primarily...
OBJECTIVE: To demonstrate the value of using 50Â keV virtual monochromatic images with deep learning ...
PURPOSE: Qualitative findings in Crohn's disease (CD) can be challenging to reliably report and quan...