Latest AI and machine learning research in emergency medicine for healthcare professionals.
AIM: The study aimed to develop a predictive model with machine learning (ML) algorithm, to predict ...
With the increasing prevalence of vertebral fractures, accurate diagnosis and prognostication are es...
PURPOSE: Severe burns result in significant skin damage, impairing its primary role as an infection ...
The non-invasive detection of crack/cocaine and other bioactive compounds from its pyrolysis in sali...
The first ONTOX Hackathon of the EU Horizon 2020-funded ONTOX project was held on 21-23 April 2024 i...
AIMS: In routine diagnosis of lymphoma, initial non-specialist triage is carried out when the sample...
BACKGROUND: Accurate triage is required for efficient allocation of resources and to decrease patien...
BACKGROUND: Emergency department (ED) overcrowding is an important problem in many countries. Accura...
In 2019, COVID-19 began one of the greatest public health challenges in history, reaching pandemic s...
Spontaneous hepatic rupture is a rare complication that occurs in pregnant mothers with HELLP syndr...
RATIONALE AND OBJECTIVES: Effective trauma care in emergency departments necessitates rapid diagnosi...
Large language models (LLMs) are generative artificial intelligence models that create content on th...
BACKGROUND AND AIM: The potential intricacy of skull fractures as well as the complexity of underlyi...
PURPOSE: Intraventricular hemorrhage (IVH) is a common and severe complication in premature neonates...
Diagnostic errors in health care pose significant risks to patient safety and are disturbingly commo...
BACKGROUND: Current tools to review focused abdominal sonography for trauma (FAST) images for qualit...
Artificial intelligence is rapidly changing our world at an exponential rate and its transformative ...
Artificial Intelligence (AI) and Machine Learning (ML) are transforming drug discovery by overcoming...
OBJECTIVE: The purpose of this study was to evaluate the effectiveness of a deep learning model (DLM...
Emergency neuroradiology provides rapid diagnostic decision-making and guidance for management for a...
OBJECTIVE: Among children transported by ambulance across the United States, we used machine learnin...