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Revolutionizing Emergency Care with AI: Opportunities and Challenges

Guest Editor:
Dee Kotak: London Bridge Hospital, UK
Peter Wagoner Greenwald: Weill Cornell Medical College, USA

Submission Status: Open   |   Submission Deadline: 15 February 2024

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

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.

There are currently no articles in this collection.

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.