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.
This is a preview of subscription content, access via your institution
Relevant articles
Open Access articles citing this article.
-
Die Rolle der artifiziellen Intelligenz in der Gastroenterologie – Already changing the game!
Schweizer Gastroenterologie Open Access 27 November 2023
-
ChatGPT and mycosis– a new weapon in the knowledge battlefield
BMC Infectious Diseases Open Access 27 October 2023
Access options
Access Nature and 54 other Nature Portfolio journals
Get Nature+, our best-value online-access subscription
$29.99 / 30 days
cancel any time
Subscribe to this journal
Receive 12 print issues and online access
$209.00 per year
only $17.42 per issue
Buy this article
- Purchase on Springer Link
- Instant access to full article PDF
Prices may be subject to local taxes which are calculated during checkout
References
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).
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).
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).
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).
Lahav, D. et al. in Proceedings of the AAAI Conference on Artificial Intelligence Vol. 36, No. 11, 11982–11990 (AAAI, 2022).
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).
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).
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).
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
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.
Rights and permissions
About this article
Cite this article
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
Published:
Issue Date:
DOI: https://doi.org/10.1038/s41575-023-00799-8
This article is cited by
-
ChatGPT and mycosis– a new weapon in the knowledge battlefield
BMC Infectious Diseases (2023)
-
Die Rolle der artifiziellen Intelligenz in der Gastroenterologie – Already changing the game!
Schweizer Gastroenterologie (2023)