AI-generated text may have a role in evidence-based medicine

人工智能生成的文本可能在循证医学中发挥作用。

阅读:1

Abstract

Evidence-based medicine (EBM) requires the retrieval and ranking of relevant evidence by epistemological strength, to identify the most appropriate evidence to inform guidelines and policies, with a preference for robust evidence from randomized clinical trials (RCTs), systematic reviews, and meta-analyses. The explosive growth of the scientific literature and the emergence of new sources of evidence, including social media, case reports, and large-scale observational studies, as well as the free-text nature of this large body of evidence, collectively make it difficult to appraise and select the best available evidence.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。