Potential Use of ChatGPT for the Treatment of Infectious Diseases in Vulnerable Populations.

IF 3 2区医学 Q3 ENGINEERING, BIOMEDICAL

Annals of Biomedical Engineering Pub Date : 2024-08-12 DOI:10.1007/s10439-024-03600-2

Heqing Tao, Ligang Liu, Jiayu Cui, Kunkun Wang, Liang Peng, Milap C Nahata

{"title":"Potential Use of ChatGPT for the Treatment of Infectious Diseases in Vulnerable Populations.","authors":"Heqing Tao, Ligang Liu, Jiayu Cui, Kunkun Wang, Liang Peng, Milap C Nahata","doi":"10.1007/s10439-024-03600-2","DOIUrl":null,"url":null,"abstract":"Background: ChatGPT could be a useful tool in the infectious disease field. However, the application of ChatGPT for the treatment of infectious diseases in vulnerable population has not been determined.Methods: We designed questions about antibiotic use, including the choice of antibiotics, dose, and treatment duration for prevalent infectious disease in vulnerable populations. Each query was posed to ChatGPT-4, and the answers were independently evaluated by two authors. When there were significant differences in the final scores between the two authors, they discussed the case and answers to obtain results.Results: Our analysis revealed that 38.1% of responses were comprehensive and correct, with 11.9% containing errors for medication use for patients during pregnancy. For the antibiotic allergy-related questions, 36.1% of responses were comprehensive and correct, and 18.1% contained errors. For older adults, 27.5% of responses were comprehensive and correct, while 25% contained errors. The error rate in patients with kidney disease was 79.2%. For children, 43.8% of answers contained errors.Conclusion: ChatGPT produced high rates of inaccurate information for treating infectious diseases in special population. Thus, recommendations generated by ChatGPT should be used with caution and checked by healthcare professionals to ensure accuracy and comprehensiveness prior to use.","PeriodicalId":7986,"journal":{"name":"Annals of Biomedical Engineering","volume":null,"pages":null},"PeriodicalIF":3.0000,"publicationDate":"2024-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Annals of Biomedical Engineering","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1007/s10439-024-03600-2","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENGINEERING, BIOMEDICAL","Score":null,"Total":0}

引用次数: 0

Abstract

Background: ChatGPT could be a useful tool in the infectious disease field. However, the application of ChatGPT for the treatment of infectious diseases in vulnerable population has not been determined.

Methods: We designed questions about antibiotic use, including the choice of antibiotics, dose, and treatment duration for prevalent infectious disease in vulnerable populations. Each query was posed to ChatGPT-4, and the answers were independently evaluated by two authors. When there were significant differences in the final scores between the two authors, they discussed the case and answers to obtain results.

Results: Our analysis revealed that 38.1% of responses were comprehensive and correct, with 11.9% containing errors for medication use for patients during pregnancy. For the antibiotic allergy-related questions, 36.1% of responses were comprehensive and correct, and 18.1% contained errors. For older adults, 27.5% of responses were comprehensive and correct, while 25% contained errors. The error rate in patients with kidney disease was 79.2%. For children, 43.8% of answers contained errors.

Conclusion: ChatGPT produced high rates of inaccurate information for treating infectious diseases in special population. Thus, recommendations generated by ChatGPT should be used with caution and checked by healthcare professionals to ensure accuracy and comprehensiveness prior to use.

Abstract Image

查看原文本刊更多论文

将 ChatGPT 用于治疗弱势群体传染病的潜力。

背景：ChatGPT 可能是传染病领域的一种有用工具。然而，ChatGPT 在易感人群传染病治疗中的应用尚未确定：方法：我们设计了有关抗生素使用的问题，包括抗生素的选择、剂量以及易感人群中流行的传染病的治疗时间。每个问题都是向 ChatGPT-4 提出的，答案由两位作者独立评估。当两位作者的最终评分存在明显差异时，他们会对案例和答案进行讨论，以得出结果：我们的分析表明，38.1% 的回答是全面和正确的，11.9% 的回答在孕期患者用药方面存在错误。对于抗生素过敏相关问题，36.1% 的回答是全面和正确的，18.1% 的回答存在错误。对于老年人，27.5% 的回答是全面和正确的，25% 的回答包含错误。肾病患者的错误率为 79.2%。对于儿童，43.8% 的答案包含错误：结论：ChatGPT 为特殊人群提供的传染病治疗信息错误率较高。因此，应谨慎使用 ChatGPT 生成的建议，并在使用前由医护人员进行检查，以确保其准确性和全面性。

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

Annals of Biomedical Engineering 工程技术-工程：生物医学

CiteScore

7.50

自引率

15.80%

发文量

212

审稿时长

3 months

期刊介绍： Annals of Biomedical Engineering is an official journal of the Biomedical Engineering Society, publishing original articles in the major fields of bioengineering and biomedical engineering. The Annals is an interdisciplinary and international journal with the aim to highlight integrated approaches to the solutions of biological and biomedical problems.