AIMC Topic: Emergency Medicine
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AI versus human-generated multiple-choice questions for medical education: a cohort study in a high-stakes examination.
BMC medical education
Feb 8, 2025
BACKGROUND: The creation of high-quality multiple-choice questions (MCQs) is essential for medical education assessments but is resource-intensive and time-consuming when done by human experts. Large language models (LLMs) like ChatGPT-4o offer a pro...
Establishing methodological standards for the development of artificial intelligence-based Clinical Decision Support in emergency medicine.
CJEM
Feb 7, 2025
OBJECTIVE: Artificial intelligence (AI) offers opportunities for managing the complexities of clinical care in the emergency department (ED), and Clinical Decision Support has been identified as a priority application. However, there is a lack of pub...
The role of artificial intelligence in gynecologic and obstetric emergencies.
European journal of obstetrics, gynecology, and reproductive biology
Jan 6, 2025
OBJECTIVE: To investigate the potential of artificial intelligence (AI) in emergency medicine, focusing on its utility in triaging and managing acute gynecologic and obstetric emergencies.
FDA-reviewed artificial intelligence-enabled products applicable to emergency medicine.
The American journal of emergency medicine
Dec 25, 2024
OBJECTIVE: To identify and assess artificial intelligence (AI)-enabled products reviewed by the U.S. Food and Drug Administration (FDA) that are potentially applicable to emergency medicine (EM).
Artificial intelligence in emergency and trauma radiology: ASER AI/ML expert panel Delphi consensus statement on research guidelines, practices, and priorities.
Emergency radiology
Dec 23, 2024
BACKGROUND: Emergency/trauma radiology artificial intelligence (AI) is maturing along all stages of technology readiness, with research and development (R&D) ranging from data curation and algorithm development to post-market monitoring and retrainin...
Leveraging artificial intelligence to reduce diagnostic errors in emergency medicine: Challenges, opportunities, and future directions.
Academic emergency medicine : official journal of the Society for Academic Emergency Medicine
Dec 15, 2024
Diagnostic errors in health care pose significant risks to patient safety and are disturbingly common. In the emergency department (ED), the chaotic and high-pressure environment increases the likelihood of these errors, as emergency clinicians must ...
Machine learning predicts emergency physician specialties from treatment strategies for patients suspected of myocardial infarction.
International journal of cardiology
Jul 2, 2024
BACKGROUND: Our investigation aimed to determine how the diverse backgrounds and medical specialties of emergency physicians (Eps) influence the accuracy of diagnoses and the subsequent treatment pathways for patients presenting preclinically with MI...
Exploring the Use of Natural Language Processing to Understand Emotions of Trainees and Faculty Regarding Entrustable Professional Activity Assessments.
Journal of graduate medical education
Jun 13, 2024
In medical education, artificial intelligence techniques such as natural language processing (NLP) are starting to be used to capture and analyze emotions through written text. To explore the application of NLP techniques to understand resident and...
Implementation considerations for the adoption of artificial intelligence in the emergency department.
The American journal of emergency medicine
May 24, 2024
OBJECTIVE: Artificial intelligence (AI) has emerged as a potentially transformative force, particularly in the realm of emergency medicine (EM). The implementation of AI in emergency departments (ED) has the potential to improve patient care through ...
Artificial Intelligence in Emergency Medicine: A Case for More.
Annals of emergency medicine
May 23, 2024
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