AIMC Topic: Emergency Medicine
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Artificial intelligence and machine learning in emergency medicine.
Emergency medicine Australasia : EMA
Jul 16, 2018
Interest in artificial intelligence (AI) research has grown rapidly over the past few years, in part thanks to the numerous successes of modern machine learning techniques such as deep learning, the availability of large datasets and improvements in ...
How artificial intelligence could transform emergency department operations.
The American journal of emergency medicine
Jan 4, 2018
Identification of Long Bone Fractures in Radiology Reports Using Natural Language Processing to support Healthcare Quality Improvement.
Applied clinical informatics
Nov 9, 2016
BACKGROUND: Important information to support healthcare quality improvement is often recorded in free text documents such as radiology reports. Natural language processing (NLP) methods may help extract this information, but these methods have rarely...
A Novel Artificial Intelligence System for Endotracheal Intubation.
Prehospital emergency care
Mar 17, 2016
OBJECTIVE: Adequate visualization of the glottic opening is a key factor to successful endotracheal intubation (ETI); however, few objective tools exist to help guide providers' ETI attempts toward the glottic opening in real-time. Machine learning/a...
Reducing the incidence of oxyhaemoglobin desaturation during rapid sequence intubation in a paediatric emergency department.
BMJ quality & safety
Jul 16, 2015
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
Apr 7, 2015
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...
Evaluating large language and large reasoning models as decision support tools in emergency internal medicine.
Computers in biology and medicine
Jun 1, 2025
BACKGROUND: Large Language Models (LLMs) hold promise for clinical decision support, but their real-world performance varies. We compared three leading models (OpenAI's "o1" Large Reasoning Model (LRM), Anthropic's Claude-3.5-Sonnet, and Meta's Llama...
Can Gpt-4o Accurately Diagnose Trauma X-Rays? A Comparative Study with Expert Evaluations.
The Journal of emergency medicine
Jun 1, 2025
BACKGROUND: The latest artificial intelligence (AI) model, GPT-4o, introduced by OpenAI, can process visual data, presenting a novel opportunity for radiographic evaluation in trauma patients.
Generating Synthetic Healthcare Dialogues in Emergency Medicine Using Large Language Models.
Studies in health technology and informatics
Nov 22, 2024
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...
Trainee Focus debate: Artificial intelligence will have a negative impact on emergency medicine.
Emergency medicine Australasia : EMA
Aug 1, 2024
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