Prospects and perils of ChatGPT in diabetes.

IF 4.2 3区 医学 Q1 ENDOCRINOLOGY & METABOLISM
Gumpeny R Sridhar, Lakshmi Gumpeny
{"title":"Prospects and perils of ChatGPT in diabetes.","authors":"Gumpeny R Sridhar, Lakshmi Gumpeny","doi":"10.4239/wjd.v16.i3.98408","DOIUrl":null,"url":null,"abstract":"<p><p>ChatGPT, a popular large language model developed by OpenAI, has the potential to transform the management of diabetes mellitus. It is a conversational artificial intelligence model trained on extensive datasets, although not specifically health-related. The development and core components of ChatGPT include neural networks and machine learning. Since the current model is not yet developed on diabetes-related datasets, it has limitations such as the risk of inaccuracies and the need for human supervision. Nevertheless, it has the potential to aid in patient engagement, medical education, and clinical decision support. In diabetes management, it can contribute to patient education, personalized dietary guidelines, and providing emotional support. Specifically, it is being tested in clinical scenarios such as assessment of obesity, screening for diabetic retinopathy, and provision of guidelines for the management of diabetic ketoacidosis. Ethical and legal considerations are essential before ChatGPT can be integrated into healthcare. Potential concerns relate to data privacy, accuracy of responses, and maintenance of the patient-doctor relationship. Ultimately, while ChatGPT and large language models hold immense potential to revolutionize diabetes care, one needs to weigh their limitations, ethical implications, and the need for human supervision. The integration promises a future of proactive, personalized, and patient-centric care in diabetes management.</p>","PeriodicalId":48607,"journal":{"name":"World Journal of Diabetes","volume":"16 3","pages":"98408"},"PeriodicalIF":4.2000,"publicationDate":"2025-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11885976/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"World Journal of Diabetes","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.4239/wjd.v16.i3.98408","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENDOCRINOLOGY & METABOLISM","Score":null,"Total":0}
引用次数: 0

Abstract

ChatGPT, a popular large language model developed by OpenAI, has the potential to transform the management of diabetes mellitus. It is a conversational artificial intelligence model trained on extensive datasets, although not specifically health-related. The development and core components of ChatGPT include neural networks and machine learning. Since the current model is not yet developed on diabetes-related datasets, it has limitations such as the risk of inaccuracies and the need for human supervision. Nevertheless, it has the potential to aid in patient engagement, medical education, and clinical decision support. In diabetes management, it can contribute to patient education, personalized dietary guidelines, and providing emotional support. Specifically, it is being tested in clinical scenarios such as assessment of obesity, screening for diabetic retinopathy, and provision of guidelines for the management of diabetic ketoacidosis. Ethical and legal considerations are essential before ChatGPT can be integrated into healthcare. Potential concerns relate to data privacy, accuracy of responses, and maintenance of the patient-doctor relationship. Ultimately, while ChatGPT and large language models hold immense potential to revolutionize diabetes care, one needs to weigh their limitations, ethical implications, and the need for human supervision. The integration promises a future of proactive, personalized, and patient-centric care in diabetes management.

ChatGPT治疗糖尿病的前景和危险。
ChatGPT是OpenAI开发的一种流行的大型语言模型,它有可能改变糖尿病的管理。它是一个基于广泛数据集训练的会话人工智能模型,尽管不是专门与健康相关的。ChatGPT的开发和核心组件包括神经网络和机器学习。由于目前的模型尚未在糖尿病相关数据集上开发,因此存在诸如不准确风险和需要人工监督等局限性。然而,它有可能帮助患者参与,医学教育和临床决策支持。在糖尿病管理中,它有助于患者教育、个性化饮食指南和提供情感支持。具体来说,它正在临床场景中进行测试,如肥胖评估、糖尿病视网膜病变筛查和糖尿病酮症酸中毒管理指南的提供。在将ChatGPT集成到医疗保健中之前,必须考虑道德和法律问题。潜在的问题涉及数据隐私、响应的准确性和医患关系的维护。最终,虽然ChatGPT和大型语言模型具有革新糖尿病治疗的巨大潜力,但人们需要权衡它们的局限性、伦理意义和对人类监督的需求。这种整合为未来的糖尿病管理提供了前瞻性、个性化和以患者为中心的护理。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
World Journal of Diabetes
World Journal of Diabetes ENDOCRINOLOGY & METABOLISM-
自引率
2.40%
发文量
909
期刊介绍: The WJD is a high-quality, peer reviewed, open-access journal. The primary task of WJD is to rapidly publish high-quality original articles, reviews, editorials, and case reports in the field of diabetes. In order to promote productive academic communication, the peer review process for the WJD is transparent; to this end, all published manuscripts are accompanied by the anonymized reviewers’ comments as well as the authors’ responses. The primary aims of the WJD are to improve diagnostic, therapeutic and preventive modalities and the skills of clinicians and to guide clinical practice in diabetes. Scope: Diabetes Complications, Experimental Diabetes Mellitus, Type 1 Diabetes Mellitus, Type 2 Diabetes Mellitus, Diabetes, Gestational, Diabetic Angiopathies, Diabetic Cardiomyopathies, Diabetic Coma, Diabetic Ketoacidosis, Diabetic Nephropathies, Diabetic Neuropathies, Donohue Syndrome, Fetal Macrosomia, and Prediabetic State.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信