AI Medical Compendium Topic

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Emergency Medicine

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Reducing the incidence of oxyhaemoglobin desaturation during rapid sequence intubation in a paediatric emergency department.

BMJ quality & safety
OBJECTIVES: Rapid sequence intubation (RSI) is the standard for definitive airway management in emergency medicine. In a video-based study of RSI in a paediatric emergency department (ED), we reported a high degree of process variation and frequent a...

The Quebec rural emergency department project: a cross-sectional study of a potential two-pronged strategy in the knowledge transfer process.

PloS one
INTRODUCTION: Health services research generates useful knowledge. Promotion of implementation of this knowledge in medical practice is essential. Prior to initiation of a major study on rural emergency departments (EDs), we deployed two knowledge tr...

Generating Synthetic Healthcare Dialogues in Emergency Medicine Using Large Language Models.

Studies in health technology and informatics
Natural Language Processing (NLP) has shown promise in fields like radiology for converting unstructured into structured data, but acquiring suitable datasets poses several challenges, including privacy concerns. Specifically, we aim to utilize Large...

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
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...

Applications of Artificial Intelligence and Machine Learning in Emergency Medicine Triage - A Systematic Review.

Medical archives (Sarajevo, Bosnia and Herzegovina)
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...

Transforming emergency triage: A preliminary, scenario-based cross-sectional study comparing artificial intelligence models and clinical expertise for enhanced accuracy.

Bratislavske lekarske listy
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...