Latest AI and machine learning research in emergency medicine for healthcare professionals.
INTRODUCTION: Patient-operated digital triage systems with AI components are becoming increasingly c...
BACKGROUND: To develop an end-to-end deep learning method for automated quantitative assessment of p...
Deep learning algorithms can be used to classify medical images. In distal radius fracture treatment...
The roles of emergency responders are challenging and often physically demanding, so it is essential...
BACKGROUND AND OBJECTIVE: In the process of robotic fracture reduction, there is a risk of unintende...
Fires are one of the main disasters in underground engineering. In order to comprehensively describe...
Herein, a robust and reproducible eXplainable Artificial Intelligence (XAI) approach is presented, w...
The development of increasingly more complex computer and electromotor technologies enables the incr...
Hydrogels are widely used in actuators that are applied in numerous fields such as multifunctional s...
BACKGROUND: Physical trauma-related mortality places a heavy burden on society. Estimating the morta...
OBJECTIVES: Preventing the expansion of perihematomal edema (PHE) represents a novel strategy for th...
To confirm whether machine learning algorithms (MLA) can achieve an effective risk stratification of...
BACKGROUND: In the emergency room, clinicians spend a lot of time and are exposed to mental stress. ...
IMPORTANCE: Early detection of pneumothorax, most often via chest radiography, can help determine ne...
BACKGROUND: Robot-assisted pelvic fracture closed reduction (RPFCR) positively contributes to patien...
UNLABELLED: is to create, train, and test the algorithm for the analysis of brain CT text reports u...
Mathematical models of human cardiovascular and respiratory systems provide a viable alternative to ...
Establishing toxicological predictive modeling frameworks for heterogeneous nanomaterials is crucial...
BACKGROUND: The possible benefits of using semantic language models in the early diagnosis of major ...
Rapid detection of intracranial haemorrhage (ICH) is crucial for assessing patients with neurologica...
INTRODUCTION: Trauma patients have diverse resource needs due to variable mechanisms and injury patt...