Latest AI and machine learning research in emergency medicine for healthcare professionals.
AIMS: Coagulation abnormality is one of the primary concerns for patients with spontaneous intracere...
OBJECTIVE: To analyze artificial intelligence image-assisted knee ligament injury repair and femoral...
BACKGROUND: In recent years, both suicide and overdose rates have been increasing. Many individuals ...
Artificial intelligence technology is a rapidly expanding field with many applications in acute stro...
BACKGROUND: Hospital-based studies have reported variable associations between outcome after spontan...
Despite the salient benefits of the intravenous tissue plasminogen activator (tPA), symptomatic intr...
Background There are characteristic findings of coronavirus disease 2019 (COVID-19) on chest images....
PURPOSE: The triage and initial care of injured patients and a subsequent right level of care is par...
The recent medical applications of deep-learning (DL) algorithms have demonstrated their clinical ef...
INTRODUCTION: Given the drawbacks of a femoral intertrochanteric fracture classification based on 2-...
PURPOSE: To determine how to optimize the delivery of machine learning techniques in a clinical sett...
Small heat shock protein (sHSP) is a superfamily of molecular chaperone and is found from archaea to...
A 400-estimator gradient boosting classifier was trained to predict survival probabilities of trauma...
OBJECTIVE: The timely reporting of critical results in radiology is paramount to improved patient ou...
OBJECTIVE: To determine whether machine learning (ML) algorithms can improve the prediction of delay...
AIMS: The aim of this study was to estimate a 48 hour prediction of moderate to severe respiratory f...
Soft robots show excellent body compliance, adaptability, and mobility when coping with unstructured...
Sensitivity of the somatosensory system may be influenced by multiple physiological parameters. Vari...
BACKGROUND: Diagnosis of rib fractures plays an important role in identifying trauma severity. Howev...
BACKGROUND: Information on protein-protein interactions affected by mutations is very useful for und...
This project aimed to develop and evaluate a fast and fully-automated deep-learning method applying ...