Long Chen, Hui Li, Yiqi Su, Zhen Yang, Zihao He, Du Wang, Jiao Jiao Li, Dan Xing
{"title":"使用谷歌网络搜索分析评估ChatGPT在干细胞治疗中的效用。","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":"{\"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}","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}
Using A Google Web Search Analysis to Assess the Utility of ChatGPT in Stem Cell Therapy.
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.
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.
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