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.

中文翻译：

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人工智能生成的文本可能在循证医学中发挥作用

循证医学（EBM）要求根据认识论强度对相关证据进行检索和排序，以确定最合适的证据来为指南和政策提供信息，并优先考虑来自随机临床试验（RCT）、系统评价和荟萃分析的有力证据。 - 分析。科学文献的爆炸性增长和新证据来源的出现，包括社交媒体、病例报告和大规模观察研究，以及大量证据的自由文本性质，共同使得很难评估并选择最佳的可用证据。