IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v20y2023i5p4541-d1087259.html
   My bibliography  Save this article

Artificial Intelligence and Public Health: An Exploratory Study

Author

Listed:
  • David Jungwirth

    (Department of Environmental Health, Center for Public Health, Medical University of Vienna, 1090 Vienna, Austria
    These authors contributed equally to this work.)

  • Daniela Haluza

    (Department of Environmental Health, Center for Public Health, Medical University of Vienna, 1090 Vienna, Austria
    These authors contributed equally to this work.)

Abstract

Artificial intelligence (AI) has the potential to revolutionize research by automating data analysis, generating new insights, and supporting the discovery of new knowledge. The top 10 contribution areas of AI towards public health were gathered in this exploratory study. We utilized the “text-davinci-003” model of GPT-3, using OpenAI playground default parameters. The model was trained with the largest training dataset any AI had, limited to a cut-off date in 2021. This study aimed to test the ability of GPT-3 to advance public health and to explore the feasibility of using AI as a scientific co-author. We asked the AI asked for structured input, including scientific quotations, and reviewed responses for plausibility. We found that GPT-3 was able to assemble, summarize, and generate plausible text blocks relevant for public health concerns, elucidating valuable areas of application for itself. However, most quotations were purely invented by GPT-3 and thus invalid. Our research showed that AI can contribute to public health research as a team member. According to authorship guidelines, the AI was ultimately not listed as a co-author, as it would be done with a human researcher. We conclude that good scientific practice also needs to be followed for AI contributions, and a broad scientific discourse on AI contributions is needed.

Suggested Citation

  • David Jungwirth & Daniela Haluza, 2023. "Artificial Intelligence and Public Health: An Exploratory Study," IJERPH, MDPI, vol. 20(5), pages 1-12, March.
    • Handle: RePEc:gam:jijerp:v:20:y:2023:i:5:p:4541-:d:1087259
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/20/5/4541/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/20/5/4541/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Daniele Giansanti, 2022. "Artificial Intelligence in Public Health: Current Trends and Future Possibilities," IJERPH, MDPI, vol. 19(19), pages 1-4, September.
    2. Benjamin Chaix & Benjamin Chaix & Benjamin Chaix & Arthur Guillemassé & Pierre Nectoux & Guillaume Delamon & Benoît Brouard & Jean Emmanuel Bibault, 2020. "Vik- A Chatbot to Support Patients with Chronic Diseases," Biomedical Journal of Scientific & Technical Research, Biomedical Research Network+, LLC, vol. 27(1), pages 20501-20504, April.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Simon Ofori Ametepey & Clinton Aigbavboa & Wellington Didibhuku Thwala & Hutton Addy, 2024. "The Impact of AI in Sustainable Development Goal Implementation: A Delphi Study," Sustainability, MDPI, vol. 16(9), pages 1-76, May.

    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. Nazeema Isaacs & Xolani Ntinga & Thabo Keetsi & Lindelwa Bhembe & Bongumenzi Mthembu & Allanise Cloete & Candice Groenewald, 2024. "Are mHealth Interventions Effective in Improving the Uptake of Sexual and Reproductive Health Services among Adolescents? A Scoping Review," IJERPH, MDPI, vol. 21(2), pages 1-17, January.

    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:20:y:2023:i:5:p:4541-:d:1087259. 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.