History and the Current Generative Artificial Intelligence Policies and the Case for a Universal Disclosure Log

IF 5.3 3区医学 Q1 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING

Journal of the American College of Radiology Pub Date : 2026-09-01 Epub Date: 2026-06-06 DOI:10.1016/j.jacr.2026.06.005

Mohammad Mahdi Bagheri Asl MD, Hasna Loulida MD, Ariana Chacon MD, Alejandro M. Spiotta MD

引用次数: 0

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历史和当前的生成式人工智能政策以及通用披露日志的案例。

人工智能的快速发展超出了我们有效监管它的能力。尽管大多数期刊都有披露和透明的趋势，但对于应该报道什么、应该出现在哪里、报告应该有多详细，仍然没有一致的语言。我们描绘了期刊和编辑机构政策的演变，强调了最近的GAMER声明是一个实际的回应，将其与其他建议进行比较，并认为通用披露日志可以作为一个共同的最低标准，同时与更专业的框架保持兼容。

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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来源期刊

Journal of the American College of Radiology RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING-

CiteScore

6.30

自引率

8.90%

发文量

312

审稿时长

34 days

期刊介绍： The official journal of the American College of Radiology, JACR informs its readers of timely, pertinent, and important topics affecting the practice of diagnostic radiologists, interventional radiologists, medical physicists, and radiation oncologists. In so doing, JACR improves their practices and helps optimize their role in the health care system. By providing a forum for informative, well-written articles on health policy, clinical practice, practice management, data science, and education, JACR engages readers in a dialogue that ultimately benefits patient care.