Reply to Daungsupawong and Wiwanitkit

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Dear Editor, Dr. Ray, and Dr. Wiwanitkit

I have carefully read your letter and the important issues raised in it regarding our work on the evaluation of custom ChatGPT agents in the management of pancreatic cystic lesions [1] [2]. I agree with the limitations you have pointed out, keeping in mind that this study is intended as a proof of concept for a novel feature of large language models (LLMs). Although 60 scenarios is not a large sample size, most similar studies in the field of gastroenterology and LLMs studied a similar number of scenarios [3] [4] [5]. The issue of interrogation of discrepancies as part of a systemic approach to the development and training of LLMs should indeed be further implemented and improved. An example of such a systemic approach is described in a recent work that evaluated various setups using ChatGPT for management of hepatitis C infection [5]. The ethical considerations including bias and error handling and user responsibility should also be explored. Hopefully, these issues will be addressed gradually in future studies as this field of currently novel research progresses from generated scenarios to evaluation on clinical data and prospective interventional studies.

Publication History

Received: 07 May 2024

Accepted: 24 May 2024

Article published online:
20 June 2024

© 2024. The Author(s). This is an open access article published by Thieme under the terms of the Creative Commons Attribution-NonDerivative-NonCommercial-License, permitting copying and reproduction so long as the original work is given appropriate credit. Contents may not be used for commercial purposes, or adapted, remixed, transformed or built upon. (https://creativecommons.org/licenses/by-nc-nd/4.0/).

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