Abstract
In a recent Letter to the Editor authored by Daungsupawong et al. in Aesthetic Plastic Surgery, titled “ChatGPT and Clinical Questions on the Practical Guideline of Blepharoptosis: Correspondence,” the authors emphasized important points regarding the input language differences between input and output references. However, advanced versions, such as GPT-4, have shown marginal differences between English and Chinese inputs, possibly because of the use of larger training data. To address this issue, non-English-language-oriented large language models (LLMs) have been developed. The ability of LLMs to refer to existing references varies, with newer models, such as GPT-4, showing higher reference rates than GPT-3.5. Future research should focus on addressing the current limitations and enhancing the effectiveness of emerging LLMs in providing accurate and informative answers to medical questions across multiple languages.
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References
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Shiraishi, M., Tomioka, Y. & Okazaki, M. ChatGPT and Clinical Questions on the Practical Guideline of Blepharoptosis: Reply. Aesth Plast Surg (2024). https://doi.org/10.1007/s00266-024-04193-w
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DOI: https://doi.org/10.1007/s00266-024-04193-w