Skip to main content

Advertisement

Log in

Appropriateness of ophthalmic symptoms triage by a popular online artificial intelligence chatbot

  • Brief Communication
  • Published:
Eye Submit manuscript

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Data availability

The datasets generated during and/or analysed during the current study are available from the corresponding author on request.

References

  1. ChatGPT: optimizing language models for dialogue. Accessed February, 2023. https://openai.com/blog/chatgpt.

  2. Gilson A, Safranek CW, Huang T, Socrates V, Chi L, Taylor RA, et al. How Does ChatGPT perform on the united states medical licensing examination? the implications of large language models for medical education and knowledge assessment. JMIR Med Educ. 2023;9:e45312.

    Article  PubMed  PubMed Central  Google Scholar 

  3. Sarraju A, Bruemmer D, Van Iterson E, Cho L, Rodriguez F, Laffin L. Appropriateness of cardiovascular disease prevention recommendations obtained from a popular online chat-based artificial intelligence model. JAMA [Internet]. 2023;329:842. Available from: https://jamanetwork.com/journals/jama/fullarticle/2801244.

  4. National and Regional Projections of Supply and Demand for Surgical Specialty Practitioners: 2013-2025 [Internet]. U.S. Department of Health and Human Services Health Resources and Services Administration Bureau of Health Workforce National Center for Health Workforce Analysis; 2016. Available from: https://bhw.hrsa.gov/sites/default/files/bureau-health-workforce/data-research/surgical-specialty-report.pdf.

  5. Linzer M, Jin JO, Shah P, Stillman M, Brown R, Poplau S, et al. Trends in clinician burnout with associated mitigating and aggravating factors during the COVID-19 pandemic. JAMA Health Forum. 2022;3:e224163.

    Article  PubMed  PubMed Central  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Contributions

JCT had full access to all the data in the study and takes responsibility for the integrity of the data and the accuracy of the data analysis. MBW was responsible for reviewing the data and statistical analysis. BJK, AMM, DS, and AJB were responsible for data and critical review of the manuscript. BVB was responsible for data, critical review of the manuscript, and statistical analysis. All authors have read and approved the final manuscript.

Corresponding author

Correspondence to Jonathan C. Tsui.

Ethics declarations

Competing interests

The authors declare no competing interests.

Additional information

Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Tsui, J.C., Wong, M.B., Kim, B.J. et al. Appropriateness of ophthalmic symptoms triage by a popular online artificial intelligence chatbot. Eye 37, 3692–3693 (2023). https://doi.org/10.1038/s41433-023-02556-2

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1038/s41433-023-02556-2

  • Springer Nature Limited

This article is cited by

Navigation