The Prehospital and Disaster Medicine (PDM) Editorial Team is pleased to announce a forthcoming special collection dedicated to "Evidence-Based Artificial Intelligence in Prehospital and Disaster Medicine." The journal invites the submission of original, evidence-based research articles that explore the application of artificial intelligence within these critical fields.

All submissions must follow the PDM Instructions for Authors and conform to the formatting and content requirements for either the Original Research or Innovation Report article types as detailed here: https://www-cambridge-org.demo.remotlog.com/core/journals/prehospital-and-disaster-medicine/information/author-instructions/preparing-your-materials. Please note the following exclusions: this collection will not consider expert opinions, frameworks, editorials, review articles, calls for action, or commentaries.

The primary mission of the journal is to publish innovative, high-impact, evidence-based research in both prehospital and disaster medicine. All manuscripts will undergo our standard peer-review process, as detailed on the journal’s website, and must adhere to the ethical guidelines outlined therein.

An international panel of judges will evaluate selected manuscripts. All selected articles will be given a temporary free-of-charge open access publication. The top three selected manuscripts will be featured in exclusive podcast interviews published on the WADEM website and social media channels. Authors of the first-place manuscript will be invited to give a webinar about their project, sponsored by PDM and WADEM.

Submissions will be accepted from September 1 to December 1, 2025, with publication commencing on January 1, 2026. We eagerly anticipate your high-impact contributions to this rapidly evolving field.

Questions about the special collection can be addressed to the PDM Editorial Team:

Ellen Johnson (Managing Editor): ejohnson@wadem.org

Jeffrey Franc (Editor-in-Chief): jeffrey.franc@ualberta.ca