Latest AI and machine learning research in head trauma for healthcare professionals.
Risk of U.S. Army soldier suicide-related behaviors increases substantially after separation from se...
BACKGROUND: Stereotactic radiosurgery (SRS) is widely used for managing brain metastases (BMs), but ...
Fiber posts present significant challenges for nonsurgical endodontic retreatment, as improper remov...
BACKGROUND: Multisystem inflammatory syndrome in children (MIS-C) is a rare and severe post-COVID-19...
OBJECTIVE: To assess the effectiveness of a machine learning framework and nomogram in predicting pr...
OBJECTIVE: This study aimed to evaluate the predictive performance of inflammatory and nutritional i...
This study aimed to compare and evaluate the prediction accuracy and risk of bias (ROB) of post-trau...
PURPOSE: Many individuals with inborn errors of immunity (IEIs) have poor humoral immune (HI) vaccin...
BACKGROUND: Post bariatric hypoglycaemic (PBH) is a late complication of weight loss surgery, charac...
BACKGROUND: The TaqMan Array Card (TAC) is an arrayed, high-throughput qPCR platform that can simult...
INTRODUCTION: Delayed graft function (DGF) shortens the survival time of transplanted kidneys and in...
The Post COVID-19 condition (PCC) is a complex disease affecting health and everyday functioning. Th...
Financial portfolio management investment policies computed quantitatively by modern portfolio theor...
Working memory, a fundamental cognitive function of the brain, necessitates the evaluation of cognit...
This study sought to establish and validate an interpretable CT radiomics-based machine learning mod...
We aimed to analyze the cervical sagittal alignment change following the growing rod treatment in ea...
Traumatic Brain Injury (TBI) is a form of brain injury caused by external forces, resulting in tempo...
OBJECTIVE: This study aims to investigate the effects of preoperative intracerebral hematoma volume ...
BACKGROUND AND OBJECTIVE: In recent years, machine learning-based clinical decision support systems ...
Although prediction models for heart transplantation outcomes have been developed previously, a comp...
Packed columns are commonly used in post-combustion processes to capture CO emissions by providing e...