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

Nature Medicine (2023)Cite this article

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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.

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Authors and Affiliations

  1. Department of Population Health Sciences, Weill Cornell Medicine, New York, NY, USA

    Yifan Peng

  2. Department of Neurology, Dell Medical School, University of Texas at Austin, Austin, TX, USA

    Justin F. Rousseau

  3. Department of Population Health, Dell Medical School, University of Texas at Austin, Austin, TX, USA

    Justin F. Rousseau

  4. Department of Biomedical Informatics, Vagelos College of Physicians and Surgeons, Columbia University, New York, NY, USA

    Edward H. Shortliffe & Chunhua Weng

Authors
  1. Yifan Peng
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  2. Justin F. Rousseau
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  3. Edward H. Shortliffe
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  4. Chunhua Weng
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Corresponding authors

Correspondence to Yifan Peng, Justin F. Rousseau, Edward H. Shortliffe or Chunhua Weng.

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The authors declare no competing interests

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Peng, Y., Rousseau, J.F., Shortliffe, E.H. et al. AI-generated text may have a role in evidence-based medicine. Nat Med (2023). https://doi.org/10.1038/s41591-023-02366-9

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  • DOI: https://doi.org/10.1038/s41591-023-02366-9

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