IDEAS home Printed from https://ideas.repec.org/a/plo/pmed00/1002689.html
   My bibliography  Save this article

Machine learning in medicine: Addressing ethical challenges

Author

Listed:
  • Effy Vayena
  • Alessandro Blasimme
  • I Glenn Cohen

Abstract

Effy Vayena and colleagues argue that machine learning in medicine must offer data protection, algorithmic transparency, and accountability to earn the trust of patients and clinicians.

Suggested Citation

  • Effy Vayena & Alessandro Blasimme & I Glenn Cohen, 2018. "Machine learning in medicine: Addressing ethical challenges," PLOS Medicine, Public Library of Science, vol. 15(11), pages 1-4, November.
    • Handle: RePEc:plo:pmed00:1002689
    DOI: 10.1371/journal.pmed.1002689
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosmedicine/article?id=10.1371/journal.pmed.1002689
    Download Restriction: no
    File URL: https://journals.plos.org/plosmedicine/article/file?id=10.1371/journal.pmed.1002689&type=printable
    Download Restriction: no
    File URL: https://libkey.io/10.1371/journal.pmed.1002689?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Citations

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


    Cited by:

    1. Dessislava Pachamanova & Vera Tilson & Keely Dwyer-Matzky, 2022. "Case Article—Machine Learning, Ethics, and Change Management: A Data-Driven Approach to Improving Hospital Observation Unit Operations," INFORMS Transactions on Education, INFORMS, vol. 22(3), pages 178-187, May.
    2. Michael Gerlich, 2024. "Brace for Impact: Facing the AI Revolution and Geopolitical Shifts in a Future Societal Scenario for 2025–2040," Societies, MDPI, vol. 14(9), pages 1-17, September.
    3. Mashael Alsobhi & Harpreet Singh Sachdev & Mohamed Faisal Chevidikunnan & Reem Basuodan & Dhanesh Kumar K U & Fayaz Khan, 2022. "Facilitators and Barriers of Artificial Intelligence Applications in Rehabilitation: A Mixed-Method Approach," IJERPH, MDPI, vol. 19(23), pages 1-21, November.
    4. Charlotte Blease & Anna Kharko & Cosima Locher & Catherine M DesRoches & Kenneth D Mandl, 2020. "US primary care in 2029: A Delphi survey on the impact of machine learning," PLOS ONE, Public Library of Science, vol. 15(10), pages 1-18, October.
    5. Esra Zihni & Vince Istvan Madai & Michelle Livne & Ivana Galinovic & Ahmed A Khalil & Jochen B Fiebach & Dietmar Frey, 2020. "Opening the black box of artificial intelligence for clinical decision support: A study predicting stroke outcome," PLOS ONE, Public Library of Science, vol. 15(4), pages 1-15, April.
    6. Lily Popova Zhuhadar & Miltiadis D. Lytras, 2023. "The Application of AutoML Techniques in Diabetes Diagnosis: Current Approaches, Performance, and Future Directions," Sustainability, MDPI, vol. 15(18), pages 1-24, September.
    7. Ignat Drozdov & Daniel Forbes & Benjamin Szubert & Mark Hall & Chris Carlin & David J Lowe, 2020. "Supervised and unsupervised language modelling in Chest X-Ray radiological reports," PLOS ONE, Public Library of Science, vol. 15(3), pages 1-16, March.
    8. Delahunty, Fionn & Arcan, Mihael & Johansson, Robert, 2019. "Passive Diagnosis of Mental Health Disorders Incorporating an Empathic Dialogue System," Thesis Commons 98c3q, Center for Open Science.
    9. Carl B. Roth & Andreas Papassotiropoulos & Annette B. Brühl & Undine E. Lang & Christian G. Huber, 2021. "Psychiatry in the Digital Age: A Blessing or a Curse?," IJERPH, MDPI, vol. 18(16), pages 1-32, August.
    10. Morley, Jessica & Machado, Caio C.V. & Burr, Christopher & Cowls, Josh & Joshi, Indra & Taddeo, Mariarosaria & Floridi, Luciano, 2020. "The ethics of AI in health care: A mapping review," Social Science & Medicine, Elsevier, vol. 260(C).
    11. Lepore, Dominique & Dolui, Koustabh & Tomashchuk, Oleksandr & Shim, Heereen & Puri, Chetanya & Li, Yuan & Chen, Nuoya & Spigarelli, Francesca, 2023. "Interdisciplinary research unlocking innovative solutions in healthcare," Technovation, Elsevier, vol. 120(C).
    12. Thomas Molala & Jabulani Makhubele, 2021. "A conceptual framework for the ethical deployment of Artificial Intelligence in addressing mental health challenges: Guidelines for Social Workers," Technium Social Sciences Journal, Technium Science, vol. 24(1), pages 696-706, October.
    13. Siala, Haytham & Wang, Yichuan, 2022. "SHIFTing artificial intelligence to be responsible in healthcare: A systematic review," Social Science & Medicine, Elsevier, vol. 296(C).
    14. Zahlan, Ahmed & Ranjan, Ravi Prakash & Hayes, David, 2023. "Artificial intelligence innovation in healthcare: Literature review, exploratory analysis, and future research," Technology in Society, Elsevier, vol. 74(C).
    15. Mohammad I. Merhi, 2023. "An Assessment of the Barriers Impacting Responsible Artificial Intelligence," Information Systems Frontiers, Springer, vol. 25(3), pages 1147-1160, June.

    More about this item

    Statistics

    Access and download statistics

    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:plo:pmed00:1002689. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: plosmedicine (email available below). General contact details of provider: https://journals.plos.org/plosmedicine/ .

    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.