Emergency Medicine

Repeatability, reproducibility, and diagnostic accuracy of a commercial large language model (ChatGPT) to perform emergency department triage using the Canadian triage and acuity scale.

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...

Prediction of Transfusion among In-patient Population using Temporal Pattern based Clinical Similarity Graphs.

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...

TISBE: A Public Web Platform for the Consensus-Based Explainable Prediction of Developmental Toxicity.

Despite being extremely relevant for the protection of prenatal and neonatal health, the developmental toxicity (Dev Tox) is a highly complex endpoint...

Application of robot navigation system for insertion of femoral neck system in the treatment of femoral neck fracture.

PURPOSE: To evaluate the short-term clinical efficacy and advantages of surgery robot positioning system for insertion of Femoral Neck System (FNS) in...

Editorial: Clinical application of artificial intelligence in emergency and critical care medicine, volume IV.

Evaluation of different machine learning algorithms for predicting the length of stay in the emergency departments: a single-centre study.

BACKGROUND: Recently, crowding in emergency departments (EDs) has become a recognised critical factor impacting global public healthcare, resulting fr...

A convolutional neural network-based method for the generation of super-resolution 3D models from clinical CT images.

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 with conventional rehabilitation.

Factors affecting the efficiency of walking independence in patients with subacute stroke following robot-assisted gait training (RAGT) and convention...

The Laboratory Diagnosis of Malaria: A Focus on the Diagnostic Assays in Non-Endemic Areas.

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...

Using machine learning to assess the extent of busy ambulances and its impact on ambulance response times: A retrospective observational study.

BACKGROUND: Ambulance response times are considered important. Busy ambulances are common, but little is known about their effect on response times.

Robot Navigation System Assisted PFNA Fixation of Femoral Intertrochanteric Fractures in the Elderly: A Retrospective Clinical Study.

OBJECTIVE: The incidence of hip fracture in the elderly is increasing. Robot navigation technology has the advantages of minimally invasive and accura...

Nimodipine systemic exposure and outcomes following aneurysmal subarachnoid hemorrhage: a pilot prospective observational study (ASH-1 study).

BACKGROUND: Nimodipine improves outcomes following aneurysmal subarachnoid hemorrhage (aSAH). Guidelines recommend that all patients should receive a ...

A review on artificial intelligence for the diagnosis of fractures in facial trauma imaging.

Patients with facial trauma may suffer from injuries such as broken bones, bleeding, swelling, bruising, lacerations, burns, and deformity in the face...

Evaluating the Reliability of a Remote Acuity Prediction Tool in a Canadian Academic Emergency Department.

STUDY OBJECTIVE: There is increasing interest in harnessing artificial intelligence to virtually triage patients seeking care. The objective was to ex...

Integration of persistent Laplacian and pre-trained transformer for protein solubility changes upon mutation.

Protein mutations can significantly influence protein solubility, which results in altered protein functions and leads to various diseases. Despite tr...

Application of Machine Learning Techniques to Development of Emergency Medical Rapid Triage Prediction Models in Acute Care.

Given the critical and complex features of medical emergencies, it is essential to develop models that enable prompt and suitable clinical decision-ma...

The correlation between serum creatinine and burn severity and its predictive value.

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...

Artificial intelligence in oral health surveillance among under-served communities.

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...

Predicting transfers to intensive care in children using CEWT and other early warning systems.

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...

Where developmental toxicity meets explainable artificial intelligence: state-of-the-art and perspectives.

INTRODUCTION: The application of Artificial Intelligence (AI) to predictive toxicology is rapidly increasing, particularly aiming to develop non-testi...