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Revolutionizing Emergency Care with AI: Opportunities and Challenges

Guest Editors:

Dee Kotak, MD, London Bridge Hospital, United Kingdom
Peter Wagoner Greenwald, MD, MS, Weill Cornell Medical College, United States of America

Submission Status: Closed   |   Submission Deadline: 15 February 2024

This collection is no longer accepting submissions.

International Journal of Emergency Medicine is calling for submissions to our Collection on "Revolutionizing Emergency Care with AI: Opportunities and Challenges".

Image credit: whyframestudio / Getty Images / iStock

  1. Traumatic shock is the leading cause of preventable death with most patients dying within the first six hours from arriving to the hospital. This underscores the importance of prehospital interventions, and gr...

    Authors: Eva V. Zadorozny, Tyler Weigel, Samuel M. Galvagno Jr., Christian Martin-Gill, Joshua B. Brown and Francis X. Guyette
    Citation: International Journal of Emergency Medicine 2024 17:76
  2. Shortages of mechanical ventilation have become a constant problem in Emergency Departments (EDs), thereby affecting the timely deployment of medical interventions that counteract the severe health complicatio...

    Authors: Miguel Ortiz-Barrios, Antonella Petrillo, Sebastián Arias-Fonseca, Sally McClean, Fabio de Felice, Chris Nugent and Sheyla-Ariany Uribe-López
    Citation: International Journal of Emergency Medicine 2024 17:45

About the collection

The International Journal of Emergency Medicine is calling for papers on how AI and digital health can transform emergency medicine. Major tech firms have been promoting chatbots and artificial intelligence (AI) image generators, bringing attention to the transformative potential of these AI tools. The potential of this technology is most apparent in the following areas:

1. Triage: AI chatbots can gather information from patients and make suggestions about triage priority.

2. Clinical Decision Support: AI algorithms can provide decision support for providers, potentially increasing accuracy and reducing medical errors.

3. Patient Monitoring: AI algorithms could assess patients' response to therapy during an emergency department visit and predict worsening status or risk of deterioration.

4. Communication and Patient Education: AI-powered communication tools are likely to have value in helping patients navigate emergency care. They could provide personalized education and guidance.

There are risks involved in the use of AI in emergency medicine. Bias can be introduced into algorithms based on assumptions built into their training, and replicability of function in different populations/circumstances can be a problem. The flaws of AI tools may not be apparent to patients or clinicians, and the quality of the underlying data must be evaluated before adoption. Explainability and ethical considerations may prove critical in the development and deployment of AI in emergency medicine.

Submission Guidelines

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Before submitting your manuscript, please ensure you have read our submission guidelines. Articles for this Collection should be submitted via our submission system, Snapp. During the submission process you will be asked whether you are submitting to a Collection, please select "Revolutionizing Emergency Care with AI: Opportunities and Challenges" from the dropdown menu.

Articles will undergo the journal’s standard peer-review process and are subject to all of the journal’s standard policies. Articles will be added to the Collection as they are published.

The Guest Editors have no competing interests with the submissions which they handle through the peer review process. The peer review of any submissions for which the Guest Editors have competing interests is handled by another Editorial Board Member who has no competing interests.