{"title":"ChatGPT在医学上应用的文献计量学分析:对其影响和潜力的综合评估","authors":"Mueen Ahmed KK, Chaman Sab M","doi":"10.5530/ijmedph.2023.2.13","DOIUrl":null,"url":null,"abstract":"International Journal of Medicine and Public Health,2023,13,2,74-83.DOI:10.5530/ijmedph.2023.2.13Published:September 2023Type:Original Article Bibliometric Analysis of ChatGPT's Applications in Medicine: A Comprehensive Assessment of its Impact and PotentialMueen Ahmed KK, and Chaman Sab M Mueen Ahmed KK1, Chaman Sab M2 1Phcog.Net, No. 9, St. Thomas Town, Bengaluru, Karnataka, INDIA. 2A.R.G. College of Arts and Commerce, Davanagere, Karnataka, INDIA. Abstract:Purpose: The purpose of the paper \"Bibliometric Analysis of ChatGPT's Applications in Medicine: A Comprehensive Assessment of its Impact and Potential\" is to conduct a systematic evaluation of how ChatGPT, an AI language model, has been applied in the field of medicine. The study aims to assess the impact of ChatGPT's applications in medicine and explore its potential contributions to the healthcare domain. Materials and Methods: The Scopus database was selected and the search query (All (ChatGPT AND Medicine) was developed on 11, July 2023 to retrieve all the bibliographic records on the domine of interest. From each record, we retrieved data on the title, author, organizations, journals, publications type, source, country, collaboration, etc. They were exported to MS-Excel for bibliometric analysis and VOSviewer software was used for analyzing Co-Occurrence networks and the data and descriptive analysis were classified, collected one by one, and loaded into the Bibliometric R-package program to create science maps and statistical graphs. Results: ChatGPT - related Medicine papers in the Scopus database constitute 532 papers. these publications received 1046 citations, these authored by 1771 authors published 203 article type and etc. Average citations per document 1966 received and 111 (20.86%) received extremal funding support from 62+ research agencies supporting research in this area. selected 65 significant keywords appearing in ChatGPT and Medicine. USA and UK were contributed the highest papers. Medicine is the broad subject of the study were published highest number of papers (312). Conclusion: The findings from this study can help researchers, practitioners, and policymakers better understand the impact and potential of ChatGPT in advancing medical knowledge, patient care, and healthcare practices. Additionally, the paper may contribute to identifying knowledge gaps and guide further research in this rapidly evolving field at the intersection of AI and medicine. Keywords:Bibliometric, ChatGPT, Impact, Medicine, Scopus database.View:PDF (901.02 KB)","PeriodicalId":90863,"journal":{"name":"International journal of medicine and public health","volume":"30 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Bibliometric Analysis of ChatGPT's Applications in Medicine: A Comprehensive Assessment of its Impact and Potential\",\"authors\":\"Mueen Ahmed KK, Chaman Sab M\",\"doi\":\"10.5530/ijmedph.2023.2.13\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"International Journal of Medicine and Public Health,2023,13,2,74-83.DOI:10.5530/ijmedph.2023.2.13Published:September 2023Type:Original Article Bibliometric Analysis of ChatGPT's Applications in Medicine: A Comprehensive Assessment of its Impact and PotentialMueen Ahmed KK, and Chaman Sab M Mueen Ahmed KK1, Chaman Sab M2 1Phcog.Net, No. 9, St. Thomas Town, Bengaluru, Karnataka, INDIA. 2A.R.G. College of Arts and Commerce, Davanagere, Karnataka, INDIA. Abstract:Purpose: The purpose of the paper \\\"Bibliometric Analysis of ChatGPT's Applications in Medicine: A Comprehensive Assessment of its Impact and Potential\\\" is to conduct a systematic evaluation of how ChatGPT, an AI language model, has been applied in the field of medicine. The study aims to assess the impact of ChatGPT's applications in medicine and explore its potential contributions to the healthcare domain. Materials and Methods: The Scopus database was selected and the search query (All (ChatGPT AND Medicine) was developed on 11, July 2023 to retrieve all the bibliographic records on the domine of interest. From each record, we retrieved data on the title, author, organizations, journals, publications type, source, country, collaboration, etc. They were exported to MS-Excel for bibliometric analysis and VOSviewer software was used for analyzing Co-Occurrence networks and the data and descriptive analysis were classified, collected one by one, and loaded into the Bibliometric R-package program to create science maps and statistical graphs. Results: ChatGPT - related Medicine papers in the Scopus database constitute 532 papers. these publications received 1046 citations, these authored by 1771 authors published 203 article type and etc. Average citations per document 1966 received and 111 (20.86%) received extremal funding support from 62+ research agencies supporting research in this area. selected 65 significant keywords appearing in ChatGPT and Medicine. USA and UK were contributed the highest papers. Medicine is the broad subject of the study were published highest number of papers (312). Conclusion: The findings from this study can help researchers, practitioners, and policymakers better understand the impact and potential of ChatGPT in advancing medical knowledge, patient care, and healthcare practices. Additionally, the paper may contribute to identifying knowledge gaps and guide further research in this rapidly evolving field at the intersection of AI and medicine. 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引用次数: 0
摘要
国际医学与公共卫生杂志,2023,13,2,74-83.DOI:10.5530/ijmedph.2023.2.13出版日期:2023年9月类型:原创文章文献计量学分析ChatGPT在医学中的应用:综合评估其影响和潜力Mueen Ahmed KK, and Chaman Sab M Mueen Ahmed KK1, Chaman Sab M2 1Phcog。Net, 9号,圣托马斯镇,班加罗尔,卡纳塔克邦,印度2 a.r.g。印度卡纳塔克邦达瓦纳吉尔艺术与商业学院。摘要:目的:论文《ChatGPT在医学中的应用的文献计量学分析:对其影响和潜力的综合评估》的目的是对ChatGPT这一人工智能语言模型在医学领域的应用进行系统评估。本研究旨在评估ChatGPT在医学应用中的影响,并探索其对医疗保健领域的潜在贡献。材料与方法:选择Scopus数据库,于2023年7月11日开发检索查询(All (ChatGPT and Medicine)),检索感兴趣领域的所有文献记录。从每条记录中,我们检索标题、作者、组织、期刊、出版物类型、来源、国家、合作等数据。导出到MS-Excel中进行文献计量分析,使用VOSviewer软件对共现网络进行分析,并对数据进行分类和描述性分析,逐一收集,装入文献计量R-package程序,生成科学图和统计图。结果:Scopus数据库中与ChatGPT相关的医学论文共532篇。这些出版物被引用1046次,其中作者1771人,发表文章203篇等。收到的每篇论文的平均引用次数为1966,111篇(20.86%)获得了62个以上支持该领域研究的研究机构的极端资金支持。选取在ChatGPT和Medicine中出现的65个重要关键词。美国和英国发表的论文最多。医学是广学科中研究论文发表数量最多的(312篇)。结论:本研究的发现可以帮助研究人员、从业者和决策者更好地了解ChatGPT在推进医学知识、患者护理和医疗保健实践方面的影响和潜力。此外,该论文可能有助于确定知识差距,并指导在人工智能和医学交叉的这一快速发展领域的进一步研究。关键词:文献计量学,ChatGPT,影响,医学,Scopus数据库。查看:PDF (901.02 KB)
Bibliometric Analysis of ChatGPT's Applications in Medicine: A Comprehensive Assessment of its Impact and Potential
International Journal of Medicine and Public Health,2023,13,2,74-83.DOI:10.5530/ijmedph.2023.2.13Published:September 2023Type:Original Article Bibliometric Analysis of ChatGPT's Applications in Medicine: A Comprehensive Assessment of its Impact and PotentialMueen Ahmed KK, and Chaman Sab M Mueen Ahmed KK1, Chaman Sab M2 1Phcog.Net, No. 9, St. Thomas Town, Bengaluru, Karnataka, INDIA. 2A.R.G. College of Arts and Commerce, Davanagere, Karnataka, INDIA. Abstract:Purpose: The purpose of the paper "Bibliometric Analysis of ChatGPT's Applications in Medicine: A Comprehensive Assessment of its Impact and Potential" is to conduct a systematic evaluation of how ChatGPT, an AI language model, has been applied in the field of medicine. The study aims to assess the impact of ChatGPT's applications in medicine and explore its potential contributions to the healthcare domain. Materials and Methods: The Scopus database was selected and the search query (All (ChatGPT AND Medicine) was developed on 11, July 2023 to retrieve all the bibliographic records on the domine of interest. From each record, we retrieved data on the title, author, organizations, journals, publications type, source, country, collaboration, etc. They were exported to MS-Excel for bibliometric analysis and VOSviewer software was used for analyzing Co-Occurrence networks and the data and descriptive analysis were classified, collected one by one, and loaded into the Bibliometric R-package program to create science maps and statistical graphs. Results: ChatGPT - related Medicine papers in the Scopus database constitute 532 papers. these publications received 1046 citations, these authored by 1771 authors published 203 article type and etc. Average citations per document 1966 received and 111 (20.86%) received extremal funding support from 62+ research agencies supporting research in this area. selected 65 significant keywords appearing in ChatGPT and Medicine. USA and UK were contributed the highest papers. Medicine is the broad subject of the study were published highest number of papers (312). Conclusion: The findings from this study can help researchers, practitioners, and policymakers better understand the impact and potential of ChatGPT in advancing medical knowledge, patient care, and healthcare practices. Additionally, the paper may contribute to identifying knowledge gaps and guide further research in this rapidly evolving field at the intersection of AI and medicine. Keywords:Bibliometric, ChatGPT, Impact, Medicine, Scopus database.View:PDF (901.02 KB)