Latest AI and machine learning research in emergency medicine for healthcare professionals.
Electronic health records (EHR) contain data from disparate sources, spanning various biological and...
In recent years, there has been a growing body of literature on identifying effective determinants f...
This study aimed to develop and validate a transformer-based early warning score (TEWS) system for p...
Hip fractures among the elderly population continue to present significant risks and high mortality ...
The study aimed to develop an AI-assisted ultrasound model for early liver trauma identification, us...
More than 1 billion individuals worldwide have experienced dental trauma, particularly children aged...
Artificial intelligence (AI) has been applied to early recognition and management of rapidly progres...
Questions remain about how best to focus surveillance efforts for COVID-19 and other emerging respir...
Early warning scores are used to assess acute patients' risk of being in a critical situation, allow...
Numerical simulation is the most commonly used method to predict the power generation capacity of EG...
Given the limitations of unimodal pain recognition approaches, this study aimed to develop a multimo...
Postoperative pneumonia, a prevalent complication arising from lower limb fracture surgery, can sign...
Wildfire prediction models that can be applied across diverse regions at fine scales (< 100 m) are c...
Determining mixed mode fracture parameters asphalt concrete mixtures remains an engineering challeng...
BACKGROUND: Artificial intelligence (AI) has shown promise in generating multiple-choice questions (...
BACKGROUND: Out-of-hospital cardiac arrest (OHCA) survival in China remains critically low due to li...
OBJECTIVE: Machine learning (ML) models have emerged as tools to predict length of stay (LOS) and di...
Per- and polyfluoroalkyl substances (PFAS), due to their recalcitrance, toxicity, and widespread env...
PURPOSE OF REVIEW: This review aims to elucidate the complex interplay between cardiogenic shock (CS...
BACKGROUND: Skin burns result from thermal or chemical damage to the skin, requiring timely and accu...
RATIONALE AND OBJECTIVE: This study compared the capabilities of two-dimensional (2D) and three-dime...