Latest AI and machine learning research in refractive surgery 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 ...
Around 5%-10% of newborns need assistance to start breathing. Currently, there is a lack of evidence...
Fiber posts present significant challenges for nonsurgical endodontic retreatment, as improper remov...
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...
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...
BackgroundIntensive care unit (ICU) acquired weakness is a detrimental condition characterized by mu...
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...
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...
Gait analysis is crucial for identifying functional deviations from the normal gait cycle and is ess...
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...
Given close relationships between ocular structure and ophthalmic disease, ocular biometry measureme...
BACKGROUND: In recent years, with the rapid development of machine learning (ML), it has gained wide...