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根据指南评估 2 型糖尿病患者肥胖时 ChatGPT 的可信度。

Credibility of ChatGPT in the assessment of obesity in type 2 diabetes according to the guidelines.

机构信息

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

出版信息

Int J Obes (Lond). 2024 Feb;48(2):271-275. doi: 10.1038/s41366-023-01410-5. Epub 2023 Nov 11.

DOI:10.1038/s41366-023-01410-5
PMID:37951982
Abstract

BACKGROUND

The Chat Generative Pre-trained Transformer (ChatGPT) allows students, researchers, and patients in the medical field to access information easily and has gained attention nowadays. We aimed to evaluate the credibility of ChatGPT according to the guidelines for the assessment of obesity in type 2 diabetes (T2D), which is one of the major concerns of this century.

MATERIALS AND METHOD

In this cross-sectional non-human subject study, experienced endocrinologists posed 20 questions to ChatGPT in subsections, which were assessments and different treatment options for obesity according to the American Diabetes Association and American Association of Clinical Endocrinology guidelines. The responses of ChatGPT were classified into four categories: compatible, compatible but insufficient, partially incompatible and incompatible with the guidelines.

RESULTS

ChatGPT demonstrated a systematic approach to answering questions and recommended consulting a healthcare provider to receive personalized advice based on the specific health needs and circumstances of patients. The compatibility of ChatGPT with the guidelines was 100% in the assessment of obesity in type 2 diabetes; however, it was lower in the therapy sections, which included nutritional, medical, and surgical approaches to weight loss. Furthermore, ChatGPT required additional prompts for responses that were evaluated as "compatible but insufficient" to provide all the information in the guidelines.

CONCLUSION

The assessment and management of obesity in T2D are highly individualized. Despite ChatGPT's comprehensive and understandable responses, it should not be used as a substitute for healthcare professionals' patient-centered approach.

摘要

背景

Chat Generative Pre-trained Transformer(ChatGPT)让医学领域的学生、研究人员和患者能够轻松获取信息,目前受到了广泛关注。我们旨在根据 21 世纪的主要关注点之一——2 型糖尿病(T2D)肥胖评估指南来评估 ChatGPT 的可信度。

材料和方法

在这项横断面非人体研究中,经验丰富的内分泌专家将根据美国糖尿病协会和美国临床内分泌学会的指南,将 20 个问题分为评估和肥胖的不同治疗选择两个部分向 ChatGPT 提出。ChatGPT 的回答分为四个类别:与指南一致、与指南一致但不充分、部分不一致和与指南不一致。

结果

ChatGPT 表现出一种系统的回答问题的方法,并建议咨询医疗保健提供者,根据患者的具体健康需求和情况获得个性化建议。ChatGPT 在 2 型糖尿病肥胖评估方面与指南的一致性为 100%;然而,在治疗部分,包括营养、医疗和手术减肥方法,其一致性较低。此外,ChatGPT 需要额外的提示才能提供被评估为“与指南一致但不充分”的回答,以提供指南中的所有信息。

结论

T2D 肥胖的评估和管理具有高度的个体性。尽管 ChatGPT 的回答全面且易于理解,但不应将其用作医疗保健专业人员以患者为中心方法的替代品。

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