Thanks to visit codestin.com
Credit goes to www.biomedcentral.com

Skip to main content
This website is moving to Springer Nature Link.

Artificial Intelligence in Pre-hospital and Critical Care: Innovations, Applications, and Future Directions

Edited by:

Federico Semeraro, MD, FERC, Department of Anaesthesia and Intensive Care, Ospedale Maggiore, Italy
Theresa M Olasveengen, MD, PhD, Institute of Clinical Medicine, University of Oslo, Department of Anesthesia and Intensive Care Medicine, Oslo University Hospital, Norway

Submission Status: Open   |  Submission Deadline: 25 March 2026


Scandinavian Journal of Trauma, Resuscitation and Emergency Medicine calling for submissions to our Collection on “Artificial Intelligence in Pre-hospital and Critical Care: Innovations, Applications, and Future Directions”. This special collection explores the rapidly evolving role of Artificial Intelligence (AI) in pre-hospital and critical care settings. The collection seeks to inform clinicians, researchers, and policymakers about the current landscape and future potential of AI-driven innovations to improve outcomes in emergency medicine.

Image credit: © mathisworks/DigitalVisionVectors/Gettyimages

About the Collection

Scandinavian Journal of Trauma, Resuscitation and Emergency Medicine calling for submissions to our Collection on “Artificial Intelligence in Pre-hospital and Critical Care: Innovations, Applications, and Future Directions”. This special collection explores the rapidly evolving role of Artificial Intelligence (AI) in pre-hospital and critical care settings. Topics of interest include but are not limited to:

• AI-based triage tools
• Early warning systems
• Predictive analytics in EMS
• Decision support systems for cardiac arrest and trauma
• Wearable and ambient sensing for out-of-hospital monitoring
• Integration of AI with dispatch and navigation systems
• Ethical and regulatory considerations
• Real-world validation of AI tools in high-stakes environments

We welcome original research, scoping reviews, methodological papers, and implementation case studies from academic and clinical perspectives. The collection seeks to inform clinicians, researchers, and policymakers about the current landscape and future potential of AI-driven innovations to improve outcomes in emergency medicine.

  1. Large Language Models (LLMs), such as GPT-4o, are increasingly investigated for clinical decision support in emergency medicine. However, their real-world performance in disposition prediction remains insuffic...

    Authors: Cem Yıldırım, Ahmet Aykut, Ertuğ Günsoy and Mehmet Veysel Öncül
    Citation: Scandinavian Journal of Trauma, Resuscitation and Emergency Medicine 2025 33:159
    Content type: Research Published on:

  2. Vital signs monitoring provides clinicians with real-time information regarding patients’ current medical condition. We hypothesize that applying comprehensive analytical methods to underutilized, routinely co...

    Authors: Ivan Juez-Garcia, Iván D Benítez, Gerard Torres, Jessica González, Laia Utrillo, Anna Pérez, Natalia Varvará, Irene Cuadrat, Ferran Barbé and Jordi de Batlle
    Citation: Scandinavian Journal of Trauma, Resuscitation and Emergency Medicine 2025 33:150
    Content type: Research Published on:

  3. Accurately predicting mortality in patients with skin and soft-tissue infections (SSTIs) remains challenging. Machine learning models offer rapid processing, algorithmic impartiality, and strong predictive acc...

    Authors: Yu-Wei Chen, Kai-Hsiang Wu, Po-Han Wu, Cheng-Ting Hsiao, Chiao-Hsuan Hsieh, Wen-Chih Fann, Leng-Chieh Lin and Chia-Peng Chang
    Citation: Scandinavian Journal of Trauma, Resuscitation and Emergency Medicine 2025 33:148
    Content type: Research Published on:

Submission Guidelines

Back to top

This Collection welcomes submission of research, scoping reviews, methodological papers, and implementation case studies from academic and clinical perspectives. Should you wish to submit a different article type, please read our submission guidelines to confirm that type is accepted by the journal. 

Articles for this Collection should be submitted via our submission system, Snapp. Please, select the appropriate Collection title “Artificial Intelligence in Pre-hospital and Critical Care: Innovations, Applications, and Future Directions” under the “Details” tab during the submission stage.

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

The 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 Editors have competing interests is handled by another Editorial Board Member who has no competing interests.