Latest AI and machine learning research in emergency medicine for healthcare professionals.
PURPOSE: The release of the ChatGPT prototype to the public in November 2022 drastically reduced the barrier to using artificial intelligence by allowing easy access to a large language model with only a simple web interface. One situation where ChatGPT could be useful is in triaging patients arriving to the emergency department. This study aimed to address the research problem: "can emergency phy...
Intelligent prediction of risk of blood transfusion among hospitalized patients can identify at-risk patients and provide timely information to the hospital to plan and reserve resources to meet the demand of blood transfusion. While previously proposed solutions focus on sub-populations such as patients admitted to ICU after gastrointestinal bleeding or postpartum patients with hemorrhage, we des...
Despite being extremely relevant for the protection of prenatal and neonatal health, the developmental toxicity (Dev Tox) is a highly complex endpoint...
PURPOSE: To evaluate the short-term clinical efficacy and advantages of surgery robot positioning system for insertion of Femoral Neck System (FNS) in...
BACKGROUND: Recently, crowding in emergency departments (EDs) has become a recognised critical factor impacting global public healthcare, resulting fr...
BACKGROUND AND OBJECTIVE: The accurate evaluation of bone mechanical properties is essential for predicting fracture risk based on clinical computed t...
Factors affecting the efficiency of walking independence in patients with subacute stroke following robot-assisted gait training (RAGT) and convention...
Even if malaria is rare in Europe, it is a medical emergency and programs for its control should ensure both an early diagnosis and a prompt treatment...
BACKGROUND: Ambulance response times are considered important. Busy ambulances are common, but little is known about their effect on response times.
OBJECTIVE: The incidence of hip fracture in the elderly is increasing. Robot navigation technology has the advantages of minimally invasive and accura...
BACKGROUND: Nimodipine improves outcomes following aneurysmal subarachnoid hemorrhage (aSAH). Guidelines recommend that all patients should receive a ...
Patients with facial trauma may suffer from injuries such as broken bones, bleeding, swelling, bruising, lacerations, burns, and deformity in the face...
STUDY OBJECTIVE: There is increasing interest in harnessing artificial intelligence to virtually triage patients seeking care. The objective was to ex...
Protein mutations can significantly influence protein solubility, which results in altered protein functions and leads to various diseases. Despite tr...
Given the critical and complex features of medical emergencies, it is essential to develop models that enable prompt and suitable clinical decision-ma...
This study aimed to explore the correlation between serum creatinine and burn severity and the value of predicting the outcome of patients. For this p...
A sizable percentage of the population in India still does not have easy access to dental facilities. Therefore, it is of interest to document the rol...
BACKGROUND AND OBJECTIVE: The Children's Early Warning Tool (CEWT), developed in Australia, is widely used in many countries to monitor the risk of de...
INTRODUCTION: The application of Artificial Intelligence (AI) to predictive toxicology is rapidly increasing, particularly aiming to develop non-testi...