ChatGPT and Clinical Questions on the Practical Guideline of Blepharoptosis: Reply.
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Artificial Intelligence in Healthcare and Education
Anatomy and Medical Technology
Meta-analysis and systematic reviews
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.Level of Evidence V This journal requires that authors assign a level of evidence to each article. For a full description of these Evidence-Based Medicine ratings, please refer to the Table of Contents or the online Instructions to Authors www.springer.com/00266 .
추출된 의학 개체 (NER)
| 유형 | 영어 표현 | 한국어 / 풀이 | UMLS CUI | 출처 | 등장 |
|---|---|---|---|---|---|
| 약물 | ChatGPT
|
scispacy | 1 | ||
| 질환 | Blepharoptosis
|
C0005745
Blepharoptosis
|
scispacy | 1 | |
| 질환 | GPT-4
|
scispacy | 1 | ||
| 기타 | ChatGPT
|
scispacy | 1 |
MeSH Terms
Humans; Blepharoptosis; Practice Guidelines as Topic; Blepharoplasty; Language; Generative Artificial Intelligence
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