IDEAS home Printed from https://ideas.repec.org/a/bla/biomet/v77y2021i1p52-53.html
   My bibliography  Save this article

Rejoinder to Discussions on “Approval policies for modifications to machine learning‐based software as a medical device: A study of bio‐creep”

Author

Listed:
  • Jean Feng
  • Scott Emerson
  • Noah Simon

Abstract

We thank the discussants for sharing their unique perspectives on the problem of designing automatic algorithm change protocols (aACPs) for machine learning‐based software as a medical device. Both Pennello et al. and Rose highlighted a number of challenges that arise in real‐world settings, and we whole‐heartedly agree that substantial extensions of our work are needed to understand if and how aACPs can be safely deployed in practice. Our work demonstrated that aACPs that appear to be harmless may allow for biocreep, even when the data distribution is assumed to be representative and stationary over time. While we investigated two solutions that protect against this specific issue, many more statistical and practical challenges remain and we look forward to future research on this topic.

Suggested Citation

  • Jean Feng & Scott Emerson & Noah Simon, 2021. "Rejoinder to Discussions on “Approval policies for modifications to machine learning‐based software as a medical device: A study of bio‐creep”," Biometrics, The International Biometric Society, vol. 77(1), pages 52-53, March.
    • Handle: RePEc:bla:biomet:v:77:y:2021:i:1:p:52-53
    DOI: 10.1111/biom.13380
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/biom.13380
    Download Restriction: no
    File URL: https://libkey.io/10.1111/biom.13380?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. Sherri Rose, 2021. "Discussion on “Approval policies for modifications to machine learning‐based software as a medical device: A study of biocreep” by Jean Feng, Scott Emerson, and Noah Simon," Biometrics, The International Biometric Society, vol. 77(1), pages 49-51, March.

    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:bla:biomet:v:77:y:2021:i:1:p:52-53. 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: Wiley Content Delivery (email available below). General contact details of provider: http://www.blackwellpublishing.com/journal.asp?ref=0006-341X .

    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.