ChatGPT 在医疗调查问卷开发中的应用。以腰背痛为例。

IF 1.8 Q3 MEDICINE, RESEARCH & EXPERIMENTAL European Journal of Translational Myology Pub Date : 2023-12-15 DOI:10.4081/ejtm.2023.12114
Daniele Coraci, Maria Chiara Maccarone, Gianluca Regazzo, Giorgia Accordi, Jannis V Papathanasiou, Stefano Masiero
{"title":"ChatGPT 在医疗调查问卷开发中的应用。以腰背痛为例。","authors":"Daniele Coraci, Maria Chiara Maccarone, Gianluca Regazzo, Giorgia Accordi, Jannis V Papathanasiou, Stefano Masiero","doi":"10.4081/ejtm.2023.12114","DOIUrl":null,"url":null,"abstract":"<p><p>In the last year, Chat Generative Pre-Trained Transformer (ChatGPT), a web software based on artificial intelligence has been showing high potential in every field of knowledge. In the medical area, its possible application is an object of many studies with promising results. We performed the current study to investigate the possible usefulness of ChatGPT in assessing low back pain. We asked ChatGPT to generate a questionnaire about this clinical condition and we compared the obtained questions and results with the ones obtained by other validated questionnaires: Oswestry Disability Index, Quebec Back Pain Disability Scale, Roland-Morris Disability Questionnaire, and Numeric Rating Scale for pain. We enrolled 20 subjects with low back pain and we found important consistencies among the validated questionnaires. The ChatGPT questionnaire showed an acceptable significant correlation only with Oswestry Disability Index and Quebec Back Pain Disability Scale. ChatGPT showed some peculiarities, especially in the assessment of quality of life and medical consultation and treatments. Our study shows that ChatGPT can help evaluate patients, including multilevel perspectives. However, its power is limited, and further research and validation are required.</p>","PeriodicalId":46459,"journal":{"name":"European Journal of Translational Myology","volume":" ","pages":""},"PeriodicalIF":1.8000,"publicationDate":"2023-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10811646/pdf/","citationCount":"0","resultStr":"{\"title\":\"ChatGPT in the development of medical questionnaires. The example of the low back pain.\",\"authors\":\"Daniele Coraci, Maria Chiara Maccarone, Gianluca Regazzo, Giorgia Accordi, Jannis V Papathanasiou, Stefano Masiero\",\"doi\":\"10.4081/ejtm.2023.12114\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>In the last year, Chat Generative Pre-Trained Transformer (ChatGPT), a web software based on artificial intelligence has been showing high potential in every field of knowledge. In the medical area, its possible application is an object of many studies with promising results. We performed the current study to investigate the possible usefulness of ChatGPT in assessing low back pain. We asked ChatGPT to generate a questionnaire about this clinical condition and we compared the obtained questions and results with the ones obtained by other validated questionnaires: Oswestry Disability Index, Quebec Back Pain Disability Scale, Roland-Morris Disability Questionnaire, and Numeric Rating Scale for pain. We enrolled 20 subjects with low back pain and we found important consistencies among the validated questionnaires. The ChatGPT questionnaire showed an acceptable significant correlation only with Oswestry Disability Index and Quebec Back Pain Disability Scale. ChatGPT showed some peculiarities, especially in the assessment of quality of life and medical consultation and treatments. Our study shows that ChatGPT can help evaluate patients, including multilevel perspectives. However, its power is limited, and further research and validation are required.</p>\",\"PeriodicalId\":46459,\"journal\":{\"name\":\"European Journal of Translational Myology\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":1.8000,\"publicationDate\":\"2023-12-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10811646/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"European Journal of Translational Myology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.4081/ejtm.2023.12114\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"MEDICINE, RESEARCH & EXPERIMENTAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"European Journal of Translational Myology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4081/ejtm.2023.12114","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"MEDICINE, RESEARCH & EXPERIMENTAL","Score":null,"Total":0}
引用次数: 0

摘要

去年,基于人工智能的网络软件 Chat Generative Pre-Trained Transformer(ChatGPT)在各个知识领域都显示出巨大的潜力。在医学领域,许多研究都对其可能的应用进行了探讨,并取得了可喜的成果。我们目前的研究旨在调查 ChatGPT 在评估腰背痛方面可能发挥的作用。我们要求 ChatGPT 生成一份有关该临床症状的问卷,并将获得的问题和结果与其他有效问卷进行比较:这些问卷包括:Oswestry 残疾指数、魁北克背痛残疾量表、Roland-Morris 残疾问卷和疼痛数字评定量表。我们招募了 20 名腰背痛受试者,发现这些有效问卷之间存在重要的一致性。ChatGPT 问卷仅与 Oswestry 残疾指数和魁北克背痛残疾量表有可接受的显著相关性。ChatGPT 显示了一些特殊性,尤其是在生活质量评估和医疗咨询与治疗方面。我们的研究表明,ChatGPT 可以帮助评估患者,包括多层次的视角。然而,它的作用有限,需要进一步研究和验证。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
ChatGPT in the development of medical questionnaires. The example of the low back pain.

In the last year, Chat Generative Pre-Trained Transformer (ChatGPT), a web software based on artificial intelligence has been showing high potential in every field of knowledge. In the medical area, its possible application is an object of many studies with promising results. We performed the current study to investigate the possible usefulness of ChatGPT in assessing low back pain. We asked ChatGPT to generate a questionnaire about this clinical condition and we compared the obtained questions and results with the ones obtained by other validated questionnaires: Oswestry Disability Index, Quebec Back Pain Disability Scale, Roland-Morris Disability Questionnaire, and Numeric Rating Scale for pain. We enrolled 20 subjects with low back pain and we found important consistencies among the validated questionnaires. The ChatGPT questionnaire showed an acceptable significant correlation only with Oswestry Disability Index and Quebec Back Pain Disability Scale. ChatGPT showed some peculiarities, especially in the assessment of quality of life and medical consultation and treatments. Our study shows that ChatGPT can help evaluate patients, including multilevel perspectives. However, its power is limited, and further research and validation are required.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
European Journal of Translational Myology
European Journal of Translational Myology MEDICINE, RESEARCH & EXPERIMENTAL-
CiteScore
3.30
自引率
27.30%
发文量
74
审稿时长
10 weeks
期刊最新文献
Comparing Percutaneous Coronary Intervention and Coronary Artery Bypass Graft in Treatment of Non-ST-segment Elevation Acute Coronary Syndromes: A Systematic Review and Meta-Analysis Study. Low level laser therapy and rheumatoid arthritis: a systematic review and meta-analysis study. Vitamin D receptor gene polymorphisms in patients with relapsing multiple sclerosis. Efficacy of electrical stimulation of the zygomaticus muscle in complete facial paralysis: evidence from facial grading and automated image analysis. Deceleration of denervated facial muscle atrophy through functional electrical stimulation: a sonographic quantification in patients with facial nerve paralysis.
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1