IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v17y2020i6p1982-d333628.html
   My bibliography  Save this article

Modeling the Research Landscapes of Artificial Intelligence Applications in Diabetes (GAP RESEARCH )

Author

Listed:
  • Giang Thu Vu

    (Center of Excellence in Evidence-based Medicine, Nguyen Tat Thanh University, Ho Chi Minh City 700000, Vietnam)

  • Bach Xuan Tran

    (Institute for Preventive Medicine and Public Health, Hanoi Medical University, Hanoi 100000, Vietnam
    Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD 21205, USA)

  • Roger S. McIntyre

    (Institute of Medical Science, University of Toronto, Toronto, ON M5S 1A8, Canada
    Mood Disorders Psychopharmacology Unit, University Health Network, Toronto, ON M5G 2C4, Canada
    Department of Psychiatry, University of Toronto, Toronto, ON M5T 1R8, Canada
    Department of Toxicology and Pharmacology, University of Toronto, Toronto, ON M5S 1A8, Canada)

  • Hai Quang Pham

    (Institute for Global Health Innovations, Duy Tan University, Da Nang 550000, Vietnam)

  • Hai Thanh Phan

    (Institute for Global Health Innovations, Duy Tan University, Da Nang 550000, Vietnam)

  • Giang Hai Ha

    (Institute for Global Health Innovations, Duy Tan University, Da Nang 550000, Vietnam)

  • Kenneth K. Gwee

    (Department of Psychological Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 119228, Singapore)

  • Carl A. Latkin

    (Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD 21205, USA)

  • Roger C.M. Ho

    (Department of Psychological Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 119228, Singapore
    Center of Excellence in Behavioral Medicine, Nguyen Tat Thanh University, Ho Chi Minh City 700000, Vietnam
    Institute for Health Innovation and Technology (iHealthtech), National University of Singapore, Singapore 117599, Singapore)

  • Cyrus S.H. Ho

    (Department of Psychological Medicine, National University Hospital, Singapore 119074, Singapore)

Abstract

The rising prevalence and global burden of diabetes fortify the need for more comprehensive and effective management to prevent, monitor, and treat diabetes and its complications. Applying artificial intelligence in complimenting the diagnosis, management, and prediction of the diabetes trajectory has been increasingly common over the years. This study aims to illustrate an inclusive landscape of application of artificial intelligence in diabetes through a bibliographic analysis and offers future direction for research. Bibliometrics analysis was combined with exploratory factor analysis and latent Dirichlet allocation to uncover emergent research domains and topics related to artificial intelligence and diabetes. Data were extracted from the Web of Science Core Collection database. The results showed a rising trend in the number of papers and citations concerning AI applications in diabetes, especially since 2010. The nucleus driving the research and development of AI in diabetes is centered around developed countries, mainly consisting of the United States, which contributed 44.1% of the publications. Our analyses uncovered the top five emerging research domains to be: (i) use of artificial intelligence in diagnosis of diabetes, (ii) risk assessment of diabetes and its complications, (iii) role of artificial intelligence in novel treatments and monitoring in diabetes, (iv) application of telehealth and wearable technology in the daily management of diabetes, and (v) robotic surgical outcomes with diabetes as a comorbid. Despite the benefits of artificial intelligence, challenges with system accuracy, validity, and confidentiality breach will need to be tackled before being widely applied for patients’ benefits.

Suggested Citation

  • Giang Thu Vu & Bach Xuan Tran & Roger S. McIntyre & Hai Quang Pham & Hai Thanh Phan & Giang Hai Ha & Kenneth K. Gwee & Carl A. Latkin & Roger C.M. Ho & Cyrus S.H. Ho, 2020. "Modeling the Research Landscapes of Artificial Intelligence Applications in Diabetes (GAP RESEARCH )," IJERPH, MDPI, vol. 17(6), pages 1-14, March.
    • Handle: RePEc:gam:jijerp:v:17:y:2020:i:6:p:1982-:d:333628
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/17/6/1982/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/17/6/1982/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. M.J. Cobo & A.G. López-Herrera & E. Herrera-Viedma & F. Herrera, 2011. "Science mapping software tools: Review, analysis, and cooperative study among tools," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 62(7), pages 1382-1402, July.
    2. M.J. Cobo & A.G. López‐Herrera & E. Herrera‐Viedma & F. Herrera, 2011. "Science mapping software tools: Review, analysis, and cooperative study among tools," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 62(7), pages 1382-1402, July.
    3. Kerry A McBrien & Christopher Naugler & Noah Ivers & Robert G Weaver & David Campbell & Laura Desveaux & Brenda R Hemmelgarn & Alun L Edwards & Nathalie Saad & David Nicholas & Braden J Manns, 2017. "Barriers to care in patients with diabetes and poor glycemic control—A cross-sectional survey," PLOS ONE, Public Library of Science, vol. 12(5), pages 1-14, May.
    4. Aghaei Chadegani, Arezoo & Salehi, Hadi & Md Yunus, Melor & Farhadi, Hadi & Fooladi, Masood & Farhadi, Maryam & Ale Ebrahim, Nader, 2013. "A Comparison between Two Main Academic Literature Collections: Web of Science and Scopus Databases," MPRA Paper 46898, University Library of Munich, Germany, revised 18 Mar 2013.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Anita Mendiratta & Shveta Singh & Surendra Singh Yadav & Arvind Mahajan, 2023. "Bibliometric and Topic Modeling Analysis of Corporate Social Irresponsibility," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 24(3), pages 319-339, September.
    2. Xue Xiao & Martin Skitmore & Heng Li & Bo Xia, 2019. "Mapping Knowledge in the Economic Areas of Green Building Using Scientometric Analysis," Energies, MDPI, vol. 12(15), pages 1-22, August.
    3. Leonardo B. Furstenau & Bruna Rabaioli & Michele Kremer Sott & Danielli Cossul & Mariluza Sott Bender & Eduardo Moreno Júdice De Mattos Farina & Fabiano Novaes Barcellos Filho & Priscilla Paola Severo, 2021. "A Bibliometric Network Analysis of Coronavirus during the First Eight Months of COVID-19 in 2020," IJERPH, MDPI, vol. 18(3), pages 1-24, January.
    4. Alejandro Vega-Muñoz & Paloma Gónzalez-Gómez-del-Miño & Juan Felipe Espinosa-Cristia, 2021. "Recognizing New Trends in Brain Drain Studies in the Framework of Global Sustainability," Sustainability, MDPI, vol. 13(6), pages 1-27, March.
    5. Oluwole Abayomi Soyinka & Mesthrige Jayantha Wadu & Udara Willhelm Abeydera Lebunu Hewage & Timo Olugbenga Oladinrin, 2023. "Scientometric review of construction demolition waste management: a global sustainability perspective," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(10), pages 10533-10565, October.
    6. Nehal Elshaboury & Abobakr Al-Sakkaf & Eslam Mohammed Abdelkader & Ghasan Alfalah, 2022. "Construction and Demolition Waste Management Research: A Science Mapping Analysis," IJERPH, MDPI, vol. 19(8), pages 1-25, April.
    7. Gaviria-Marin, Magaly & Merigó, José M. & Baier-Fuentes, Hugo, 2019. "Knowledge management: A global examination based on bibliometric analysis," Technological Forecasting and Social Change, Elsevier, vol. 140(C), pages 194-220.
    8. Serhat Burmaoglu & Ozcan Saritas, 2019. "An evolutionary analysis of the innovation policy domain: Is there a paradigm shift?," Scientometrics, Springer;Akadémiai Kiadó, vol. 118(3), pages 823-847, March.
    9. Gallego-Losada, María-Jesús & Montero-Navarro, Antonio & García-Abajo, Elisa & Gallego-Losada, Rocío, 2023. "Digital financial inclusion. Visualizing the academic literature," Research in International Business and Finance, Elsevier, vol. 64(C).
    10. Lanzalonga Federico & Chmet Federico & Petrolo Basilio & Brescia Valerio, 2023. "Exploring Diversity Management to Avoid Social Washing and Pinkwashing: Using Bibliometric Analysis to Shape Future Research Directions," Journal of Intercultural Management, Sciendo, vol. 15(1), pages 41-65, March.
    11. Santana, Monica & Cobo, Manuel J., 2020. "What is the future of work? A science mapping analysis," European Management Journal, Elsevier, vol. 38(6), pages 846-862.
    12. Rickly, Jillian M., 2022. "A review of authenticity research in tourism: Launching the Annals of Tourism Research Curated Collection on authenticity," Annals of Tourism Research, Elsevier, vol. 92(C).
    13. Zamani, Mehdi & Yalcin, Haydar & Naeini, Ali Bonyadi & Zeba, Gordana & Daim, Tugrul U, 2022. "Developing metrics for emerging technologies: identification and assessment," Technological Forecasting and Social Change, Elsevier, vol. 176(C).
    14. Byoungsam Jin & Youngchul Bae, 2023. "Prospective Research Trend Analysis on Zero-Energy Building (ZEB): An Artificial Intelligence Approach," Sustainability, MDPI, vol. 15(18), pages 1-21, September.
    15. Margarida Rodrigues & Cidália Oliveira & MárioFranco & Ana Daniel, 2024. "A Bibliometric Study About the Rural Creative Class: Proposal of a Conceptual Framework and Future Agenda," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 15(3), pages 15278-15303, September.
    16. Rocco Mazza & Roberta Pace & Anna Paterno, 2023. "Themes and policies on population ageing: a bibliometric approach," RIEDS - Rivista Italiana di Economia, Demografia e Statistica - The Italian Journal of Economic, Demographic and Statistical Studies, SIEDS Societa' Italiana di Economia Demografia e Statistica, vol. 77(2), pages 33-43, April-Jun.
    17. Chen, Xiaoyan & Liu, Yisheng, 2020. "Visualization analysis of high-speed railway research based on CiteSpace," Transport Policy, Elsevier, vol. 85(C), pages 1-17.
    18. Jiang, Yiqi & Jiang, Zhou & Chen, Zhijun, 2024. "Women entrepreneurship in China: A bibliometric literature review and future research agenda," Journal of Business Research, Elsevier, vol. 179(C).
    19. Carmona-Lavado, Antonio & Gimenez-Fernandez, Elena M. & Vlaisavljevic, Vesna & Cabello-Medina, Carmen, 2023. "Cross-industry innovation: A systematic literature review," Technovation, Elsevier, vol. 124(C).
    20. Rui Qiu & Shuhua Hou & Xin Chen & Zhiyi Meng, 2021. "Green aviation industry sustainable development towards an integrated support system," Business Strategy and the Environment, Wiley Blackwell, vol. 30(5), pages 2441-2452, July.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:17:y:2020:i:6:p:1982-:d:333628. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.