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dc.contributor.authorBach, Xuan Tran
dc.contributor.authorNghiem, Son
dc.contributor.authorSahin, Oz
dc.contributor.authorManh Vu, Tuan
dc.contributor.authorGiang, Hai Ha
dc.contributor.authorGiang, Thu Vu
dc.contributor.authorHai, Quang Pham
dc.contributor.authorHoa, Thi Do
dc.contributor.authorLatkin, Carl A
dc.contributor.authorTam, Wilson
dc.contributor.authorHo, Cyrus SH
dc.contributor.authorHo, Roger CM
dc.date.accessioned2020-04-01T04:47:20Z
dc.date.available2020-04-01T04:47:20Z
dc.date.issued2019
dc.identifier.issn1438-8871
dc.identifier.doi10.2196/15511
dc.identifier.urihttp://hdl.handle.net/10072/392869
dc.description.abstractBackground: Artificial intelligence (AI)–based technologies develop rapidly and have myriad applications in medicine and health care. However, there is a lack of comprehensive reporting on the productivity, workflow, topics, and research landscape of AI in this field. Objective: This study aimed to evaluate the global development of scientific publications and constructed interdisciplinary research topics on the theory and practice of AI in medicine from 1977 to 2018. Methods: We obtained bibliographic data and abstract contents of publications published between 1977 and 2018 from the Web of Science database. A total of 27,451 eligible articles were analyzed. Research topics were classified by latent Dirichlet allocation, and principal component analysis was used to identify the construct of the research landscape. Results: The applications of AI have mainly impacted clinical settings (enhanced prognosis and diagnosis, robot-assisted surgery, and rehabilitation), data science and precision medicine (collecting individual data for precision medicine), and policy making (raising ethical and legal issues, especially regarding privacy and confidentiality of data). However, AI applications have not been commonly used in resource-poor settings due to the limit in infrastructure and human resources. Conclusions: The application of AI in medicine has grown rapidly and focuses on three leading platforms: clinical practices, clinical material, and policies. AI might be one of the methods to narrow down the inequality in health care and medicine between developing and developed countries. Technology transfer and support from developed countries are essential measures for the advancement of AI application in health care in developing countries.
dc.description.peerreviewedYes
dc.languageEnglish
dc.language.isoeng
dc.publisherJMIR Publications
dc.relation.ispartofissue11
dc.relation.ispartofjournalJournal of Medical Internet Research
dc.relation.ispartofvolume21
dc.subject.fieldofresearchBiomedical and clinical sciences
dc.subject.fieldofresearchPsychology
dc.subject.fieldofresearchcode32
dc.subject.fieldofresearchcode52
dc.subject.keywordsScience & Technology
dc.subject.keywordsLife Sciences & Biomedicine
dc.subject.keywordsHealth Care Sciences & Services
dc.subject.keywordsMedical Informatics
dc.subject.keywordsartificial intelligence
dc.titleModeling Research Topics for Artificial Intelligence Applications in Medicine: Latent Dirichlet Allocation Application Study
dc.typeJournal article
dc.type.descriptionC1 - Articles
dcterms.bibliographicCitationBach, XT; Nghiem, S; Sahin, O; Manh Vu, T; Giang, HH; Giang, TV; Hai, QP; Hoa, TD; Latkin, CA; Tam, W; Ho, CSH; Ho, RCM, Modeling Research Topics for Artificial Intelligence Applications in Medicine: Latent Dirichlet Allocation Application Study, Journal of Medical Internet Research, 2019, 21 (11)
dcterms.dateAccepted2019-08-28
dcterms.licensehttps://creativecommons.org/licenses/by/4.0/
dc.date.updated2020-04-01T04:43:26Z
dc.description.versionVersion of Record (VoR)
gro.rights.copyright© Bach Xuan Tran, Son Nghiem, Oz Sahin, Tuan Manh Vu, Giang Hai Ha, Giang Thu Vu, Hai Quang Pham, Hoa Thi Do, Carl A Latkin, Wilson Tam, Cyrus S H Ho, Roger C M Ho. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 01.11.2019. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in the Journal of Medical Internet Research, is properly cited. The complete bibliographic information, a link to the original publication on http://www.jmir.org/, as well as this copyright and license information must be included.
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gro.griffith.authorSahin, Oz


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