Skip to main content
Log in

Clinical Research

Response to comment on “Credibility of Chat-GPT in the assessment of obesity in type 2 diabetes according to the guidelines”

  • Correspondence
  • Published:
International Journal of Obesity 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.

Reference

  1. Barlas T, Altinova AE, Akturk M, Toruner FB. Credibility of ChatGPT in the assessment of obesity in type 2 diabetes according to the guidelines. Int J Obes. 2024;48:271–5.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Contributions

All authors contributed to the writing process for the response to the comment. The first draft of the response was written by TB and FBT, and all authors commented on previous versions of the response. All authors read and approved the final version.

Corresponding author

Correspondence to Tugba Barlas.

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

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Barlas, T., Altinova, A.E., Akturk, M. et al. Response to comment on “Credibility of Chat-GPT in the assessment of obesity in type 2 diabetes according to the guidelines”. Int J Obes (2024). https://doi.org/10.1038/s41366-024-01534-2

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1038/s41366-024-01534-2

  • Springer Nature Limited

Navigation