Radiology-Artificial Intelligence

Radiology: Artificial Intelligence is a bimonthly online journal published by the Radiological Society of North America, covering the emerging applications of machine learning and artificial intelligence in medical imaging, with a 2025 Journal Impact Factor of 20.1.《放射学：人工智能》是由（Radiological Society of North America）出版的双月刊在线期刊，聚焦机器学习与人工智能在医学影像中的新兴应用，2025 年影响因子为 20.1。

Scope

• It publishes original research that provides new knowledge on applying artificial intelligence and machine learning to clinical problems in medical imaging.该刊发表提供新知识的原创研究，聚焦人工智能与机器学习在医学影像临床问题中的应用。
• It shows the impact of AI to diagnose and manage patients, extract information, streamline radiology workflow and improve healthcare outcomes.该刊展示人工智能在诊断与管理患者、提取信息、优化放射科工作流程以及改善医疗结局方面的影响。
• It demonstrates novel applications of AI in radiology and highlights innovative AI methodologies.该刊展示人工智能在放射学中的新颖应用，并重点报道创新的人工智能方法。
• It seeks thoughtful reviews and opinion pieces on education about AI and on the role of AI in educating radiologists, referring providers and patients.该刊征集关于人工智能教育的深度综述与观点文章，以及人工智能在放射科医生、转诊医师与患者教育中作用的内容。
• It addresses the ethical, legal and social issues surrounding AI, including its impact on diagnostics and patient care.该刊探讨围绕人工智能的伦理、法律与社会议题，包括其对诊断与患者照护的影响。
• Its manuscript types include original research, technical developments, data resources, review articles, editorials, letters, special reports and AI in Brief articles.其文章类型包括原创研究、技术进展、数据资源、综述文章、社论、读者来信、特别报告以及（AI in Brief）短文。

History

• The journal was launched in 2019 by the Radiological Society of North America to focus on emerging technology in radiology.该刊于 2019 年创刊，由（Radiological Society of North America）创办，聚焦放射学中的新兴技术。
• Its first issue, Volume 1 Issue 1, appeared in January 2019 and the journal has published continuously since then.其创刊号（第 1 卷第 1 期）于 2019 年 1 月问世，此后持续出版。
• It is issued six times per year as a bimonthly online-only journal with no print edition.该刊每年出版 6 期，为仅在线出版的双月刊，不发行印刷版。
• Articles appear online within two to three weeks of acceptance.文章在被接收后两到三周内即以在线形式发表。
• It published the Checklist for Artificial Intelligence in Medical Imaging (CLAIM) in 2020, a reporting guide widely adopted by AI researchers.该刊于 2020 年发表（CLAIM）清单，成为被人工智能研究者广泛采用的报告指南。^[1]
• Its 2025 Journal Impact Factor of 20.1 rose from 13.2 in 2024, with 4,771 citations placing it first among 217 radiology journals.该刊 2025 年影响因子升至 20.1（2024 年为 13.2），被引 4,771 次，在 217 本放射学期刊中位列第一。^[2]
• Among its most cited articles is TotalSegmentator by Wasserthal and colleagues, a 2023 study on segmentation of 104 anatomic structures in CT images.其被引最多的文章之一是 Wasserthal 等人 2023 年发表的（TotalSegmentator）研究，实现 CT 图像中 104 个解剖结构的分割。^[3]

Editors

• Charles E. Kahn Jr., MD, MS, serves as the Editor-in-Chief of the journal.该刊主编为 Charles E. Kahn Jr.（医学博士、理学硕士）。
• Kahn is affiliated with the Department of Radiology at the University of Pennsylvania.Kahn 任职于（University of Pennsylvania）放射学系。
• The journal is published under the supervision of the Board of Directors of the Radiological Society of North America, which appoints the editor.该刊在（Radiological Society of North America）理事会监督下出版，主编由该理事会任命。
• It uses a double-anonymized peer-review process, and all manuscripts are submitted through ScholarOne.该刊采用双向匿名的同行评审流程，所有稿件均通过（ScholarOne）系统提交。
• Editorials are by invitation only, while review articles may be author-initiated or solicited by the editor.社论均为邀稿，而综述文章可由作者主动投稿，也可由主编邀约。