人工智能的应用与同行评审的未来。
Use of artificial intelligence and the future of peer review.
作者信息
Bauchner Howard, Rivara Frederick P
机构信息
Boston University Chobanian & Avedisian School of Medicine, Visiting Scholars Program, National University of Singapore, 02118, Singapore.
Department of Pediatrics, University of Washington, Seattle, WA 98195, United States.
出版信息
Health Aff Sch. 2024 May 3;2(5):qxae058. doi: 10.1093/haschl/qxae058. eCollection 2024 May.
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.
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、同行评审员数量不足以及与有效性、公平性和效率相关的问题,都需要一种不同的方法。大语言模型作为人工智能(AI)的一种形式,已成为一种新方法,有助于解决当代医学和科学面临的许多问题。我们认为,人工智能应用于协助对提交同行评审发表的稿件进行分类。
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