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Clinical Research

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

International Journal of Obesity (2024)Cite this article

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We would like to respond to the comments by Sedat Arslan on our published article entitled “Credibility of ChatGPT in the assessment of obesity in type 2 diabetes according to the guidelines” [1]. While we respect the concerns raised by the author, it is worth noting that the vast majority of these concerns were already addressed in our published article.

As we previously stated, we systematized our assessments, which were independently categorized by two experienced endocrinologists, with discrepancies resolved by a blinded third endocrinologist. In addition to the researchers’ collective expertise, regularly updated guidelines with reliable sources were preferred to ensure a more standardized and objective approach to assessing the credibility of ChatGPT’s responses. As we mentioned in our article, the present study did not include any human subjects. Furthermore, contrary to the author’s statements, the referenced guidelines and specific version of ChatGPT (ChatGPT-3.5) utilized are explicitly mentioned in the methods section of our published article. As we previously emphasized, the answers may change over time as artificial intelligence (AI) programs update and improve themselves. We also agreed that guidelines provided by various professional societies may vary in their recommendations, which already served as one of our main discussion topics. Lastly, we have already highlighted the importance of integrating ChatGPT technology into search engines, aiming to bolster AI capabilities with up-to-date web search information.

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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.

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Authors and Affiliations

  1. Gazi University, Faculty of Medicine, Department of Endocrinology and Metabolism, Ankara, Turkey

    Tugba Barlas, Alev Eroglu Altinova, Mujde Akturk & Fusun Balos Toruner

Authors
  1. Tugba Barlas
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  2. Alev Eroglu Altinova
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  3. Mujde Akturk
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  4. Fusun Balos Toruner
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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.

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Correspondence to Tugba Barlas.

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The authors declare no competing interests.

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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

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

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