AIMC Topic: Emergency Medicine

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Trainee Focus debate: Artificial intelligence will have a positive impact on emergency medicine.

Emergency medicine Australasia : EMA Aug 1, 2024
Humans Artificial Intelligence Emergency Medicine
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Comparison of the problem-solving performance of ChatGPT-3.5, ChatGPT-4, Bing Chat, and Bard for the Korean emergency medicine board examination question bank.

Medicine Mar 1, 2024
Large language models (LLMs) have been deployed in diverse fields, and the potential for their application in medicine has been explored through numerous studies. This study aimed to evaluate and compare the performance of ChatGPT-3.5, ChatGPT-4, Bin...
Language Republic of Korea Artificial Intelligence Educational Measurement Emergency Medicine
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Applications of Artificial Intelligence and Machine Learning in Emergency Medicine Triage - A Systematic Review.

Medical archives (Sarajevo, Bosnia and Herzegovina) Jan 1, 2024
BACKGROUND: Overcrowding in Emergency departments adversely impacts efficiency, patient outcomes, and resource allocation. Accurate triage systems are essential for prioritizing care and optimizing resources. While traditional methods provide a found...
Emergency Medicine Humans Artificial Intelligence Triage Machine Learning Emergency Service, Hospital
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Transforming emergency triage: A preliminary, scenario-based cross-sectional study comparing artificial intelligence models and clinical expertise for enhanced accuracy.

Bratislavske lekarske listy Jan 1, 2024
INTRODUCTION: This study examines triage judgments in emergency settings and compares the outcomes of artificial intelligence models for healthcare professionals. It discusses the disparities in precision rates between subjective evaluations by healt...
Humans Artificial Intelligence Cross-Sectional Studies Turkey Emergency Medicine Clinical Competence Triage
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The Natural Language Artificial Intelligence Revolution in Emergency Medicine: Unleash the Potential, Addressing the Concerns.

Annals of emergency medicine Dec 1, 2023
Language Emergency Medicine Artificial Intelligence Machine Learning Humans
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A Sober Appraisal of Artificial Intelligence Systems, Particularly ChatGPT, in the Facets of Emergency Medicine.

Annals of emergency medicine Dec 1, 2023
Humans Artificial Intelligence Joints Emergency Medicine
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The ChatGPT Era: Artificial Intelligence in Emergency Medicine.

Annals of emergency medicine Jun 1, 2023
Artificial Intelligence Emergency Medicine Humans
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Deep-Learning-Based Diagnosis of Bedside Chest X-ray in Intensive Care and Emergency Medicine.

Investigative radiology Aug 1, 2021
OBJECTIVES: Validation of deep learning models should separately consider bedside chest radiographs (CXRs) as they are the most challenging to interpret, while at the same time the resulting diagnoses are important for managing critically ill patient...
Emergency Medicine Radiography, Thoracic X-Rays Humans Deep Learning Critical Care Retrospective Studies
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Developing a curriculum in artificial intelligence for emergency radiology.

Emergency radiology Aug 1, 2020
Humans Artificial Intelligence COVID-19 SARS-CoV-2 Pandemics Emergency Medicine Curriculum Emergency Service, Hospital Education, Medical Radiology
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Evaluation of a hospital admission prediction model adding coded chief complaint data using neural network methodology.

European journal of emergency medicine : official journal of the European Society for Emergency Medicine Apr 1, 2015
OBJECTIVE: Our objective was to apply neural network methodology to determine whether adding coded chief complaint (CCC) data to triage information would result in an improved hospital admission prediction model than one without CCC data.
Emergency Medicine Emergency Treatment Patient Admission Risk Assessment Pennsylvania Cohort Studies Aged, 80 and over Female Male Algorithms Humans Hospitalization Area Under Curve Reproducibility of Results Retrospective Studies Neural Networks, Computer Aged Predictive Value of Tests Emergency Service, Hospital Triage Confidence Intervals
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