Using A Google Web Search Analysis to Assess the Utility of ChatGPT in Stem Cell Therapy.

IF 5.4 2区 医学 Q1 CELL & TISSUE ENGINEERING Stem Cells Translational Medicine Pub Date : 2024-01-12 DOI:10.1093/stcltm/szad074
Long Chen, Hui Li, Yiqi Su, Zhen Yang, Zihao He, Du Wang, Jiao Jiao Li, Dan Xing
{"title":"Using A Google Web Search Analysis to Assess the Utility of ChatGPT in Stem Cell Therapy.","authors":"Long Chen, Hui Li, Yiqi Su, Zhen Yang, Zihao He, Du Wang, Jiao Jiao Li, Dan Xing","doi":"10.1093/stcltm/szad074","DOIUrl":null,"url":null,"abstract":"<p><strong>Objective: </strong>Since its introduction, the use of ChatGPT has increased significantly for medically related purposes. However, current research has not captured its applications in providing information on stem cell therapy. To address this gap, the present study compared the effectiveness of ChatGPT to Google in answering medical questions related to stem cell therapy.</p><p><strong>Methods: </strong>The search term \"stem cell therapy\" was used to perform a Google web search, and the top 20 frequently asked questions along with answers were recorded together with relevant website sources. Of these questions, the top 10 questions were separately entered into ChatGPT, and the answers and the sources were recorded. Then, the following statement was entered into ChatGPT: \"Do a Google search with the search term 'stem cell therapy' and record 20 common questions related to the search term.\" After obtaining these questions, each question was separately entered into ChatGPT for an answer and source.</p><p><strong>Results: </strong>A majority of the top 20 questions provided by Google were related to fact, whereas a majority of the questions provided by ChatGPT were related to policy. The answer sources used by Google were mostly drawn from medical practice, while those used by ChatGPT were mostly drawn from academic information.</p><p><strong>Conclusion: </strong>Compared to Google, ChatGPT exhibits stronger capabilities in promoting awareness of stem cell therapy. ChatGPT has the ability to eliminate misleading information by providing accurate and reliable answers. However, the responses provided by ChatGPT are still general in nature and cannot substitute academic sources for providing specialized knowledge.</p>","PeriodicalId":21986,"journal":{"name":"Stem Cells Translational Medicine","volume":" ","pages":"60-68"},"PeriodicalIF":5.4000,"publicationDate":"2024-01-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10785216/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Stem Cells Translational Medicine","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1093/stcltm/szad074","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CELL & TISSUE ENGINEERING","Score":null,"Total":0}
引用次数: 0

Abstract

Objective: Since its introduction, the use of ChatGPT has increased significantly for medically related purposes. However, current research has not captured its applications in providing information on stem cell therapy. To address this gap, the present study compared the effectiveness of ChatGPT to Google in answering medical questions related to stem cell therapy.

Methods: The search term "stem cell therapy" was used to perform a Google web search, and the top 20 frequently asked questions along with answers were recorded together with relevant website sources. Of these questions, the top 10 questions were separately entered into ChatGPT, and the answers and the sources were recorded. Then, the following statement was entered into ChatGPT: "Do a Google search with the search term 'stem cell therapy' and record 20 common questions related to the search term." After obtaining these questions, each question was separately entered into ChatGPT for an answer and source.

Results: A majority of the top 20 questions provided by Google were related to fact, whereas a majority of the questions provided by ChatGPT were related to policy. The answer sources used by Google were mostly drawn from medical practice, while those used by ChatGPT were mostly drawn from academic information.

Conclusion: Compared to Google, ChatGPT exhibits stronger capabilities in promoting awareness of stem cell therapy. ChatGPT has the ability to eliminate misleading information by providing accurate and reliable answers. However, the responses provided by ChatGPT are still general in nature and cannot substitute academic sources for providing specialized knowledge.

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
使用谷歌网络搜索分析评估ChatGPT在干细胞治疗中的效用。
目的:自推出以来,ChatGPT在医学相关目的上的使用显著增加。然而,目前的研究还没有捕捉到它在提供干细胞治疗信息方面的应用。为了解决这一差距,本研究比较了ChatGPT和谷歌在回答与干细胞治疗相关的医学问题方面的有效性。方法:使用搜索词“干细胞治疗”进行谷歌网络搜索,并将前20个常见问题和答案与相关网站来源一起记录下来。在这些问题中,前10个问题分别输入ChatGPT,并记录答案和来源。然后,以下声明被输入到ChatGPT中:“用搜索词‘干细胞治疗’在谷歌上搜索,并记录20个与搜索词相关的常见问题。”在获得这些问题后,每个问题都被单独输入到ChatGPT中,以获得答案和来源。结果:谷歌提供的前20个问题中,大多数与事实有关,而ChatGPT提供的大多数问题与政策有关。谷歌使用的答案来源大多来自医学实践,而ChatGPT使用的答案源大多来自学术信息。结论:与谷歌相比,ChatGPT在提高干细胞治疗意识方面表现出更强的能力。ChatGPT有能力通过提供准确可靠的答案来消除误导性信息。然而,ChatGPT提供的回复仍然是一般性的,不能取代学术来源来提供专业知识。
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 去求助
来源期刊
Stem Cells Translational Medicine
Stem Cells Translational Medicine CELL & TISSUE ENGINEERING-
CiteScore
12.90
自引率
3.30%
发文量
140
审稿时长
6-12 weeks
期刊介绍: STEM CELLS Translational Medicine is a monthly, peer-reviewed, largely online, open access journal. STEM CELLS Translational Medicine works to advance the utilization of cells for clinical therapy. By bridging stem cell molecular and biological research and helping speed translations of emerging lab discoveries into clinical trials, STEM CELLS Translational Medicine will help move applications of these critical investigations closer to accepted best patient practices and ultimately improve outcomes. The journal encourages original research articles and concise reviews describing laboratory investigations of stem cells, including their characterization and manipulation, and the translation of their clinical aspects of from the bench to patient care. STEM CELLS Translational Medicine covers all aspects of translational cell studies, including bench research, first-in-human case studies, and relevant clinical trials.
期刊最新文献
Endostatin-expressing endometrial mesenchymal stem cells inhibit angiogenesis in endometriosis through the miRNA-21-5p/TIMP3/PI3K/Akt/mTOR pathway. Tailoring cell therapies for diabetic metabolic phenotypes: a comparative study on the efficacy of various umbilical cord-derived cell regimens. Human umbilical cord mesenchymal stem cells small extracellular vesicles-derived miR-370-3p inhibits cervical precancerous lesions by targeting DHCR24. Exploring mesenchymal stem cells homing mechanisms and improvement strategies. Progranulin enhances the engraftment of transplanted human iPS cell-derived cerebral neurons.
×
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