Publication Name	World Journal of Radiology
Manuscript ID	117814
Country	China

Category	Radiology, Nuclear Medicine & Medical Imaging
Manuscript Type	Editorial
Article Title	Expanding the applications of artificial intelligence in emergency radiology: Advancing precision medicine and resource efficiency
Manuscript Source	Invited Manuscript
All Author List	Zhen-Xing He, Jie Wang and Jian-She Yang
Funding Agency and Grant Number
Corresponding Author	Jian-She Yang, Academic Fellow, Chairman, Dean, Full Professor, PhD, Professor, Department of Nuclear Medicine and Oncology Research, Shanghai Tenth People’s Hospital, Tongji University School of Medicine, No. 301 Yanchang Road, Shanghai 200072, China. 2305499@tongji.edu.cn
Key Words	Artificial intelligence; Emergency medicine; Radiology; Precision medicine; Multimodal decision support
Core Tip	With emerging technologies such as quantum computing and federated learning poised to revolutionize diagnostic capabilities, the future of artificial intelligence in emergency radiology is promising. These innovations will enable the rapid processing of complex imaging data and support precision medicine tailored to individual patient needs. By overcoming current challenges and leveraging current and future advancements in artificial intelligence, emergency radiology will achieve new heights in precision medicine, ultimately enhancing patient care and operational efficiency.
Citation	He ZX, Wang J, Yang JS. Expanding the applications of artificial intelligence in emergency radiology: Advancing precision medicine and resource efficiency. World J Radiol 2026; In press

Received	2025-12-17 01:39
Peer-Review Started	2025-12-17 01:39
First Decision by Editorial Office Director	2026-01-06 09:12
Return for Revision	2026-01-06 09:12
Revised	2026-01-12 04:54
Publication Fee Transferred
Second Decision by Editor	2026-01-15 02:33
Second Decision by Editor-in-Chief
Final Decision by Editorial Office Director	2026-01-15 10:05
Articles in Press	2026-01-15 10:05
Edit the Manuscript by Language Editor
Typeset the Manuscript

ISSN	1949-8470 (online)
Open Access	This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/Licenses/by-nc/4.0/
Copyright	© The Author(s) 2026. Published by Baishideng Publishing Group Inc. All rights reserved.
Permissions	For details, please visit: http://www.wjgnet.com/bpg/gerinfo/207
Publisher	Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA
Website	http://www.wjgnet.com