Latest AI and machine learning research in emergency medicine for healthcare professionals.
RATIONALE AND OBJECTIVES: This study aimed to employ deep learning techniques to analyze and validat...
BACKGROUND: In-hospital mortality following hip fractures is a significant concern, and accurate pre...
Multidisciplinary pulmonary embolism response teams (PERTs) have shown that timely triage expedites ...
Intracerebral hemorrhage (ICH) is a severe form of stroke with high morbidity and mortality, account...
, a notable drug-resistant bacterium, often induces severe infections in healthcare settings, prompt...
BACKGROUND AND OBJECTIVES: Ambiguity in diagnosing acute heart failure (AHF) leads to inappropriate ...
Despite well-defined criteria for radiographic diagnosis of atypical femur fractures (AFFs), missed ...
OBJECTIVE: The Emergency Severity Index (ESI) is the most commonly used system in over 70% of all U....
In tool mark identification, there is still a lack of characteristics and methodologies standardizat...
Deep learning (DL) in orthopaedics has gained significant attention in recent years. Previous studie...
Large language models (LLMs), a natural language processing technology based on deep learning, are c...
BACKGROUND: Artificial intelligence (AI) holds significant promise for enhancing the efficiency and ...
In emergency situations, ensuring standardized cardiopulmonary resuscitation (CPR) actions is crucia...
Urinary tract stones are a common and frequently recurring medical issue. Accurately predicting the ...
BACKGROUND AND PURPOSE: Early and reliable prediction of hemorrhagic transformation (HT) in patients...
INTRODUCTION: Radiology plays an integral role in fracture detection in the emergency department (ED...
The present study aimed to evaluate the diagnostic accuracy of ultra-low dose computed tomography (U...
Clinical decision support systems (CDSS) based on artificial intelligence (AI) are complex socio-tec...
AIM OF THE STUDY: This study aimed to develop an artificial intelligence (AI) model capable of predi...
BACKGROUND: The effective management of trauma patients necessitates efficient triaging, timely acti...
Computational approaches are widely applied in drug discovery to explore properties related to bioac...