介绍院前灾害医学循证人工智能院前灾害医学专集。

IF 2.5 4区医学 Q2 EMERGENCY MEDICINE

Prehospital and Disaster Medicine Pub Date : 2025-08-01 Epub Date: 2025-09-12 DOI:10.1017/S1049023X25101337

Jeffrey Michael Franc

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引用次数: 0

摘要

人工智能（AI）应用的最新变化使院前和灾难医学的从业者能够以几年前几乎不可想象的方式使用该技术。这项技术最初的零星使用受到了热情和兴奋的欢迎。然而，这一领域往往缺乏循证研究。PDM院前和灾难医学循证人工智能特别合集介绍了一个传播创新、高影响力研究的新论坛。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Introducing the Prehospital and Disaster Medicine Special Collection on Evidence-Based Artificial Intelligence in Prehospital and Disaster Medicine.

Recent changes in artificial intelligence (AI) applications have made the technology accessible for practitioners in prehospital and disaster medicine in a way that was nearly unthinkable a few years ago. Initial anecdotal use of this technology has been met with enthusiasm and excitement. However, evidence-based research in the field is often lacking. The PDM Special Collection on Evidence-Based Artificial Intelligence in Prehospital and Disaster Medicine introduces a new forum for dissemination of innovative, high-impact research.

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来源期刊

Prehospital and Disaster Medicine Medicine-Emergency Medicine

CiteScore

3.10

自引率

13.60%

发文量

279

期刊介绍： Prehospital and Disaster Medicine (PDM) is an official publication of the World Association for Disaster and Emergency Medicine. Currently in its 25th volume, Prehospital and Disaster Medicine is one of the leading scientific journals focusing on prehospital and disaster health. It is the only peer-reviewed international journal in its field, published bi-monthly, providing a readable, usable worldwide source of research and analysis. PDM is currently distributed in more than 55 countries. Its readership includes physicians, professors, EMTs and paramedics, nurses, emergency managers, disaster planners, hospital administrators, sociologists, and psychologists.