IDEAS home Printed from https://ideas.repec.org/a/abf/journl/v51y2023i2p42413-42421.html
   My bibliography  Save this article

Artificial Intelligence and Medical Oxygen

Author

Listed:
  • Stephane Bilodeau

    (McGill University, Department of Bioengineering, QC, Canada
    Smart Phases Inc, Plattsburgh, NY, USA)

Abstract

Producing medical-grade Oxygen to improve the availability of oxygen therapy and other treatments, especially in developing countries, remote areas strained during the COVID-19 pandemic, and beyond. It argues on the technical challenges, ethical concerns, and other issues of medical oxygen production with Medical Oxygen Concentrators (MOC) for specialized treatments. The article looks into how to integrate proper usage of either ML or DL considering the optimization models, data collection, technical considerations, and bias. It explains how pressure-swing adsorption (PSA) based MOC can be a source of medical-quality Oxygen that can serve different healthcare system levels.

Suggested Citation

  • Stephane Bilodeau, 2023. "Artificial Intelligence and Medical Oxygen," Biomedical Journal of Scientific & Technical Research, Biomedical Research Network+, LLC, vol. 51(2), pages 42413-42421, June.
    • Handle: RePEc:abf:journl:v:51:y:2023:i:2:p:42413-42421
    DOI: 10.26717/BJSTR.2023.51.008062
    as

    Download full text from publisher

    File URL: https://biomedres.us/pdfs/BJSTR.MS.ID.008062.pdf
    Download Restriction: no
    File URL: https://biomedres.us/fulltexts/BJSTR.MS.ID.008062.php
    Download Restriction: no
    File URL: https://libkey.io/10.26717/BJSTR.2023.51.008062?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
    ---><---

    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:abf:journl:v:51:y:2023:i:2:p:42413-42421. 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: Angela Roy (email available below). General contact details of provider: .

    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.