High consistency between recommendations by a pulmonary specialist and ChatGPT for the management of a patient with non-resolving pneumonia

A. Chirino, T. Wiemken, S. Furmanek, William A. Mattingly, T. Chandler, G. Cabral, R. Cavallazzi, R. Carrico, Julio A Ramirez
{"title":"High consistency between recommendations by a pulmonary specialist and ChatGPT for the management of a patient with non-resolving pneumonia","authors":"A. Chirino, T. Wiemken, S. Furmanek, William A. Mattingly, T. Chandler, G. Cabral, R. Cavallazzi, R. Carrico, Julio A Ramirez","doi":"10.59541/001c.75456","DOIUrl":null,"url":null,"abstract":"The use of artificial intelligence in healthcare is rapidly growing, with great potential to assist medical professionals in diagnosis and treatment of complex medical conditions. In this case report, the recommendations of a pulmonary consultation are compared to the recommendations from a large language model (LLM), ChatGPT, in regards to a case of non-resolving pneumonia. The recommendations by ChatGPT were found to be consistent with the pulmonary consultation, and no recommendations given were inappropriate. As shown in this case report, early generations of LLM such as ChatGPT were able to provide appropriate recommendations for the management of a patient with a complex medical condition.","PeriodicalId":273029,"journal":{"name":"Norton Healthcare Medical Journal","volume":"28 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Norton Healthcare Medical Journal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.59541/001c.75456","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

The use of artificial intelligence in healthcare is rapidly growing, with great potential to assist medical professionals in diagnosis and treatment of complex medical conditions. In this case report, the recommendations of a pulmonary consultation are compared to the recommendations from a large language model (LLM), ChatGPT, in regards to a case of non-resolving pneumonia. The recommendations by ChatGPT were found to be consistent with the pulmonary consultation, and no recommendations given were inappropriate. As shown in this case report, early generations of LLM such as ChatGPT were able to provide appropriate recommendations for the management of a patient with a complex medical condition.
肺科专家和ChatGPT对非解决性肺炎患者管理的建议高度一致
人工智能在医疗保健领域的应用正在迅速增长,在协助医疗专业人员诊断和治疗复杂医疗状况方面具有巨大潜力。在本病例报告中,将肺部会诊的建议与大型语言模型(LLM) ChatGPT的建议进行比较,以解决一个非解决性肺炎病例。ChatGPT的建议与肺部会诊一致,没有不适当的建议。如本病例报告所示,早期的LLM(如ChatGPT)能够为复杂疾病患者的管理提供适当的建议。
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
自引率
0.00%
发文量
0
×
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