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dc.contributor.authorLi, Zhi-Qiang
dc.contributor.authorWang, Xue-Feng
dc.contributor.authorLiu, Jianping
dc.date.accessioned2024-10-01T11:28:26Z
dc.date.available2024-10-01T11:28:26Z
dc.date.issued2024-05-18
dc.description.abstractThis study aimed to analyze the current landscape of ChatGPT application in the medical field, assessing the current collaboration patterns and research topic hotspots to understand the impact and trends. By conducting a search in the Web of Science, we collected literature related to the applications of ChatGPT in medicine, covering the period from January 1, 2000 up to January 16, 2024. Bibliometric analyses were performed using CiteSpace (V6.2., Drexel University, PA, USA) and Microsoft Excel (Microsoft Corp.,WA, USA) to map the collaboration among countries/regions, the distribution of institutions and authors, and clustering of keywords. A total of 574 eligible articles were included, with 97.74% published in 2023. These articles span various disciplines, particularly in Health Care Sciences Services, with extensive international collaboration involving 73 countries. In terms of countries/regions studied, USA, India, and China led in the number of publications. USA ot only published nearly half of the total number of papers but also exhibits a highest collaborative capability. Regarding the co-occurrence of institutions and scholars, the National University of Singapore and Harvard University held significant influence in the cooperation network, with the top three authors in terms of publications being Wiwanitkit V (10 articles), Seth I (9 articles), Klang E (7 articles), and Kleebayoon A (7 articles). Through keyword clustering, the study identified 9 research theme clusters, among which “digital health”was not only the largest in scale but also had the most citations. The study highlights ChatGPT’s cross-disciplinary nature and collaborative research in medicine, showcasing its growth potential, particularly in digital health and clinical decision support. Future exploration should examine the socio-economic and cultural impacts of this trend, along with ChatGPT’s specific technical uses in medical practice.en_US
dc.identifier.citationLi, Wang, Liu. Publication Trends and Hot Spots of ChatGPT’s Application in the Medicine. Journal of Medical Systems. 2024;48(1)en_US
dc.identifier.cristinIDFRIDAID 2273339
dc.identifier.doi10.1007/s10916-024-02074-y
dc.identifier.issn0148-5598
dc.identifier.issn1573-689X
dc.identifier.urihttps://hdl.handle.net/10037/34947
dc.language.isoengen_US
dc.publisherSpringer Natureen_US
dc.relation.journalJournal of Medical Systems
dc.rights.accessRightsopenAccessen_US
dc.rights.holderCopyright 2024 The Author(s)en_US
dc.rights.urihttps://creativecommons.org/licenses/by/4.0en_US
dc.rightsAttribution 4.0 International (CC BY 4.0)en_US
dc.titlePublication Trends and Hot Spots of ChatGPT’s Application in the Medicineen_US
dc.type.versionpublishedVersionen_US
dc.typeJournal articleen_US
dc.typeTidsskriftartikkelen_US
dc.typePeer revieweden_US


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Attribution 4.0 International (CC BY 4.0)
Med mindre det står noe annet, er denne innførselens lisens beskrevet som Attribution 4.0 International (CC BY 4.0)