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dc.contributor.authorTran, Bach Xuan
dc.contributor.authorLatkin, Carl A
dc.contributor.authorVu, Giang Thu
dc.contributor.authorNguyen, Huong Lan Thi
dc.contributor.authorNghiem, Son
dc.contributor.authorTan, Ming-Xuan
dc.contributor.authorLim, Zhi-Kai
dc.contributor.authorHo, Cyrus SH
dc.contributor.authorHo, Roger CM
dc.date.accessioned2020-01-30T03:35:03Z
dc.date.available2020-01-30T03:35:03Z
dc.date.issued2019
dc.identifier.issn1661-7827
dc.identifier.doi10.3390/ijerph16152699
dc.identifier.urihttp://hdl.handle.net/10072/390977
dc.description.abstract© 2019 by the authors. Licensee MDPI, Basel, Switzerland. The applications of artificial intelligence (AI) in aiding clinical decision-making and management of stroke and heart diseases have become increasingly common in recent years, thanks in part to technological advancements and the heightened interest of the research and medical community. This study aims to provide a comprehensive picture of global trends and developments of AI applications relating to stroke and heart diseases, identifying research gaps and suggesting future directions for research and policy-making. A novel analysis approach that combined bibliometrics analysis with a more complex analysis of abstract content using exploratory factor analysis and Latent Dirichlet allocation, which uncovered emerging research domains and topics, was adopted. Data were extracted from the Web of Science database. Results showed topics with the most compelling growth to be AI for big data analysis, robotic prosthesis, robotics-assisted stroke rehabilitation, and minimally invasive surgery. The study also found an emerging landscape of research that was centered on population-specific and early detection of stroke and heart disease. Application of AI in health behavior tracking and improvement as well as the use of robotics in medical diagnostics and prognostication have also been found to attract significant research attention. In light of these findings, it is suggested that the currently under-researched issues of data management, AI model reliability, as well as validation of its clinical utility, need to be further explored in future research and policy decisions to maximize the benefits of AI applications in stroke and heart diseases.
dc.description.peerreviewedYes
dc.languageEnglish
dc.language.isoeng
dc.publisherMultidisciplinary Digital Publishing Institute (MDPI)
dc.relation.ispartofissue15
dc.relation.ispartofjournalInternational Journal of Environmental Research and Public Health
dc.relation.ispartofvolume16
dc.subject.fieldofresearchArtificial intelligence
dc.subject.fieldofresearchBiomedical engineering
dc.subject.fieldofresearchNanomedicine
dc.subject.fieldofresearchcode4602
dc.subject.fieldofresearchcode4003
dc.subject.fieldofresearchcode320604
dc.subject.keywordsScience & Technology
dc.subject.keywordsLife Sciences & Biomedicine
dc.subject.keywordsEnvironmental Sciences
dc.subject.keywordsPublic, Environmental & Occupational Health
dc.subject.keywordsEnvironmental Sciences & Ecology
dc.titleThe Current Research Landscape of the Application of Artificial Intelligence in Managing Cerebrovascular and Heart Diseases: A Bibliometric and Content Analysis
dc.typeJournal article
dc.type.descriptionC1 - Articles
dcterms.bibliographicCitationBach, XT; Latkin, CA; Giang, TV; Huong, LTN; Son, N; Ming-Xuan, T; Lim, Z-K; Ho, CSH; Ho, RCM, The Current Research Landscape of the Application of Artificial Intelligence in Managing Cerebrovascular and Heart Diseases: A Bibliometric and Content Analysis, International Journal of Environmental Research and Public Health, 2019, 16 (15)
dcterms.dateAccepted2019-07-25
dcterms.licensehttps://creativecommons.org/licenses/by/4.0/
dc.date.updated2020-01-30T03:22:08Z
dc.description.versionVersion of Record (VoR)
gro.rights.copyright© The Author(s). 2019. Licensee MDPI, Basel, Switzerland. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
gro.hasfulltextFull Text
gro.griffith.authorNghiem, Son H.


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