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ChatGPT and large language models in gastroenterology

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In gastroenterology, ChatGPT and large language models (LLMs) can assist clinicians in various tasks but also have several shortcomings. Although LLMs have great potential to assist clinicians in health care, they should be used as a tool to support, rather than replace, human expertise.

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Fig. 1: LLMs in gastroenterology.

References

  1. Devlin, J., Chang, M.-W., Lee, K. & Toutanova, K. in Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies Vol. 1, 4171–4186 (Association for Computational Linguistics, 2019).

  2. Brown, T. et al. in Advances in Neural Information Processing Systems 33 (eds Larochelle, H., Ranzato, M., Hadsell, R., Balcon, M. F. & Lin, H.) 1877–1901 (NeurIPS, 2020).

  3. Clynch, N. & Kellett, J. Medical documentation: part of the solution, or part of the problem? A narrative review of the literature on the time spent on and value of medical documentation. Int. J. Med. Inform. 84, 221–228 (2015).

    Article  PubMed  Google Scholar 

  4. Lee, P., Bubeck, S. & Petro, J. Benefits, limits, and risks of GPT-4 as an AI chatbot for medicine. N. Engl. J. Med. 388, 1233–1239 (2023).

    Article  PubMed  Google Scholar 

  5. Lahav, D. et al. in Proceedings of the AAAI Conference on Artificial Intelligence Vol. 36, No. 11, 11982–11990 (AAAI, 2022).

  6. Nori, H., King, N., McKinney, S. M., Carignan, D. & Horvitz, E. Capabilities of GPT-4 on medical challenge problems. Preprint at https://doi.org/10.48550/arXiv.2303.13375 (2023).

  7. Sai, A. B., Mohankumar, A. K. & Khapra, M. M. A survey of evaluation metrics used for NLG systems. ACM Comput. Surv. 55, 1–39 (2022).

    Article  Google Scholar 

  8. Friedman, B., Kahn, P. H. Jr, Borning, A. & Huldtgren, A. in Early Engagement and New Technologies: Opening up the Laboratory (eds Doorn, N., Schuurbiers, D., van de Poel, I. & Gorman, M. E.) 55–95 (Springer, 2013).

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Correspondence to Prateek Sharma.

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Competing interests

P.S. declares consultancy for Bausch, Boston Scientific Corporation, CDx Labs, Covidien LP, Exact Sciences, Fujifilm Medical Systems USA, Inc., Lucid, Lumendi, Medtronic, Phathom, Olympus, Takeda and Samsung Bioepis, and has received grant funding from Cosmo Pharmaceuticals, Covidien, Docbot, ERBE USA Inc., Fujifilm Holdings America Corporation, Ironwood Pharmaceuticals, Inc., Medtronic USA, Inc. and Olympus. S.P. declares no competing interests.

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Sharma, P., Parasa, S. ChatGPT and large language models in gastroenterology. Nat Rev Gastroenterol Hepatol 20, 481–482 (2023). https://doi.org/10.1038/s41575-023-00799-8

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