人工智能的使用与同行评审的未来。

Health affairs scholar Pub Date : 2024-05-03 eCollection Date: 2024-05-01 DOI:10.1093/haschl/qxae058
Howard Bauchner, Frederick P Rivara
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引用次数: 0

摘要

对科学手稿进行高质量的同行评审变得越来越具有挑战性。稿件数量的大幅增加、同行评审人员数量的不足,以及与有效性、公平性和效率相关的问题,都需要一种不同的方法。大语言模型是人工智能(AI)的一种形式,已成为帮助解决当代医学和科学面临的许多问题的新方法。我们认为,人工智能应被用来协助对提交同行评审发表的稿件进行分流。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Use of artificial intelligence and the future of peer review.

Conducting high-quality peer review of scientific manuscripts has become increasingly challenging. The substantial increase in the number of manuscripts, lack of a sufficient number of peer-reviewers, and questions related to effectiveness, fairness, and efficiency, require a different approach. Large-language models, 1 form of artificial intelligence (AI), have emerged as a new approach to help resolve many of the issues facing contemporary medicine and science. We believe AI should be used to assist in the triaging of manuscripts submitted for peer-review publication.

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