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人工智能提供的美容外科建议和咨询:ChatGPT 参与的隆鼻咨询。

Aesthetic Surgery Advice and Counseling from Artificial Intelligence: A Rhinoplasty Consultation with ChatGPT.

机构信息

Department of Plastic Surgery, Peninsula Health, Melbourne, Victoria, 3199, Australia.

Faculty of Medicine, Monash University, Melbourne, Victoria, 3004, Australia.

出版信息

Aesthetic Plast Surg. 2023 Oct;47(5):1985-1993. doi: 10.1007/s00266-023-03338-7. Epub 2023 Apr 24.


DOI:10.1007/s00266-023-03338-7
PMID:37095384
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10581928/
Abstract

BACKGROUND: ChatGPT is an open-source artificial large language model that uses deep learning to produce human-like text dialogue. This observational study evaluated the ability of ChatGPT to provide informative and accurate responses to a set of hypothetical questions designed to simulate an initial consultation about rhinoplasty. METHODS: Nine questions were prompted to ChatGPT on rhinoplasty. The questions were sourced from a checklist published by the American Society of Plastic Surgeons, and the responses were assessed for accessibility, informativeness, and accuracy by Specialist Plastic Surgeons with extensive experience in rhinoplasty. RESULTS: ChatGPT was able to provide coherent and easily comprehensible answers to the questions posed, demonstrating its understanding of natural language in a health-specific context. The responses emphasized the importance of an individualized approach, particularly in aesthetic plastic surgery. However, the study also highlighted ChatGPT's limitations in providing more detailed or personalized advice. CONCLUSION: Overall, the results suggest that ChatGPT has the potential to provide valuable information to patients in a medical context, particularly in situations where patients may be hesitant to seek advice from medical professionals or where access to medical advice is limited. However, further research is needed to determine the scope and limitations of AI language models in this domain and to assess the potential benefits and risks associated with their use. LEVEL OF EVIDENCE V: Observational study under respected authorities. 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 .

摘要

背景:ChatGPT 是一款开源的人工智能大型语言模型,它使用深度学习技术生成类似人类的文本对话。本观察性研究评估了 ChatGPT 回答一组假设问题的能力,这些问题旨在模拟关于鼻整形术的初步咨询。

方法:向 ChatGPT 提出了 9 个关于鼻整形术的问题。这些问题来源于美国整形外科学会发布的一份清单,由具有丰富鼻整形经验的整形外科专家评估回答的可及性、信息量和准确性。

结果:ChatGPT 能够对提出的问题提供连贯且易于理解的答案,表明其理解特定于健康领域的自然语言。回答强调了个性化方法的重要性,特别是在美容整形手术中。然而,该研究还强调了 ChatGPT 在提供更详细或个性化建议方面的局限性。

结论:总体而言,结果表明 ChatGPT 有可能在医学背景下为患者提供有价值的信息,特别是在患者可能犹豫不决向医疗专业人员寻求建议或获取医疗建议受限的情况下。然而,需要进一步研究以确定 AI 语言模型在这一领域的范围和局限性,并评估其使用的潜在益处和风险。

证据水平 V:受尊敬的权威机构的观察性研究。本期刊要求作者为每篇文章分配一个证据水平。有关这些循证医学评级的完整描述,请参阅目录或在线作者指南 www.springer.com/00266 。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cf0f/10581928/9eebc0adc733/266_2023_3338_Fig9_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cf0f/10581928/68b860d7c1f3/266_2023_3338_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cf0f/10581928/d99952fdba02/266_2023_3338_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cf0f/10581928/6f14e82e813f/266_2023_3338_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cf0f/10581928/9158e73a9b2f/266_2023_3338_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cf0f/10581928/0f5dccafd58e/266_2023_3338_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cf0f/10581928/cf687d0581cf/266_2023_3338_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cf0f/10581928/d34f786975bd/266_2023_3338_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cf0f/10581928/c4058facfe0e/266_2023_3338_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cf0f/10581928/9eebc0adc733/266_2023_3338_Fig9_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cf0f/10581928/68b860d7c1f3/266_2023_3338_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cf0f/10581928/d99952fdba02/266_2023_3338_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cf0f/10581928/6f14e82e813f/266_2023_3338_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cf0f/10581928/9158e73a9b2f/266_2023_3338_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cf0f/10581928/0f5dccafd58e/266_2023_3338_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cf0f/10581928/cf687d0581cf/266_2023_3338_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cf0f/10581928/d34f786975bd/266_2023_3338_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cf0f/10581928/c4058facfe0e/266_2023_3338_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cf0f/10581928/9eebc0adc733/266_2023_3338_Fig9_HTML.jpg

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本文引用的文献

[1]
ChatGPT and antimicrobial advice: the end of the consulting infection doctor?

Lancet Infect Dis. 2023-4

[2]
How Does ChatGPT Perform on the United States Medical Licensing Examination (USMLE)? The Implications of Large Language Models for Medical Education and Knowledge Assessment.

JMIR Med Educ. 2023-2-8

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Aesthetic Plast Surg. 2015-4

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