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Can artificial intelligence make clinical decisions in regional anesthesia? An infographic
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  1. Nathan C Hurley1 and
  2. Eric S Schwenk2
  1. 1Anesthesiology, University of Wisconsin-Madison, Madison, Wisconsin, USA
  2. 2Anesthesiology and Perioperative Medicine, Sidney Kimmel Medical College at Thomas Jefferson University, Philadelphia, Pennsylvania, USA
  1. Correspondence to Dr Eric S Schwenk, Anesthesiology and Perioperative Medicine, Sidney Kimmel Medical College at Thomas Jefferson University, Philadelphia, PA 19107, USA; Eric.Schwenk{at}jefferson.edu

https://doi.org/10.1136/rapm-2022-104066

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    Summary

    In this study, Hurley et al1 examined whether the use of GPT-3 artificial intelligence could improve the ability of clinicians to apply the ASRA Pain Medicine anticoagulation guidelines to hypothetical patients. The baseline model without context produced an area under the receiver operating characteristic curve with a value of 0.55 (95% CI 0.50 to 0.61), which was only slightly above chance, but the addition of context improved the model’s area under the curve to 0.70 (95% CI 0.64 to 0.77). The authors concluded that artificial intelligence has the potential to aid clinicians with decision-making, but relies on accurate and relevant prompts.

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    Patient consent for publication

    Ethics approval

    Not applicable.

    Acknowledgments

    We would like to acknowledge Jim Snively, artist, from Pittsburgh, Pennsylvania, USA, for the creation of this infographic.

    Reference

    1. ↵
      1. Hurley NC,
      2. Gupta RK,
      3. Schroeder KM, et al
      . Does zero-shot artificial intelligence correlate with anticoagulation guidelines recommendations for neuraxial anesthesia? Reg Anesth Pain Med 2023. doi:10.1136/rapm-2023-104868

    Footnotes

    • Twitter @ESchwenkMD

    • Contributors Both authors contributed equally.

    • Funding The authors have not declared a specific grant for this research from any funding agency in the public, commercial or not-for-profit sectors.

    • Competing interests None declared.

    • Provenance and peer review Commissioned; internally peer reviewed.

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