IDEAS home Printed from https://ideas.repec.org/a/ers/journl/vxxvy2022i3p620-633.html
   My bibliography  Save this article

Comparative Research on Artificial Intelligence and a Various Role of Algorithms in Medicine for Emergency Dealing with the SARS-CoV Pandemic in Asia, USA, and EU

Author

Listed:
  • Karolina Harasimowicz
  • L.LD
  • L.LM

Abstract

Purpose: This research intends to compare the application of AI and ML by the USA, Asia, and EU as a powerful method in screening, detecting, calculating, tracing contact as well as developing drugs for infection. Design/methodology/approach: This article assessment was conducted on the databanks correlated to the implementation of ML and AI techniques on SARS-CoV-2. The research focuses on the latest studies utilising ML and AI technology to augment scientists on multiple approaches. It also tackles a few gaps while applying the algorithms to actual difficulties from a health law perspective. Findings: The pandemic profoundly altered the way of living and conducting daily activities and vividly enhanced the implementation of AI in the medical field. Despite AI's various and indisputable contributions, medical trials and human expertise are still necessary. In the latest global urgency, researchers and healthcare experts worldwide keep examining a novel technology to support confronting the SARS-CoV-2 outbreak. The study also deliberates recommendations by scholars on model strategy, clinical specialists, and policymakers in contemporary circumstances when battling viral infection in the future. Practical implementations: Biological disasters like the SARS-CoV-2 pandemic are out of the scope and power of human beings even though much can be done to reduce the loss of lives. Artificial intelligence in the medical sector is a worthwhile option to potentially curb the massive fatalities, not to mention to make rescue attempts effortless and highly effective. Various studies on AI tools to assess the progress of the virus were also conducted. Originality value: The current improvements in AI and ML have considerably enriched cure, medicine, detection, estimation, contact tracing, and the discovery of vaccine for the SARS-CoV-2 pandemic and minimised human mediation in medical practice. The pandemic exposed vital hindrances for law enforcement, resource administration, the execution of public health limits, and variations in crime and service patterns.

Suggested Citation

  • Karolina Harasimowicz & L.LD & L.LM, 2022. "Comparative Research on Artificial Intelligence and a Various Role of Algorithms in Medicine for Emergency Dealing with the SARS-CoV Pandemic in Asia, USA, and EU," European Research Studies Journal, European Research Studies Journal, vol. 0(3), pages 620-633.
  • Handle: RePEc:ers:journl:v:xxv:y:2022:i:3:p:620-633
    as

    Download full text from publisher

    File URL: https://ersj.eu/journal/3054/download
    Download Restriction: no
    ---><---

    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:ers:journl:v:xxv:y:2022:i:3:p:620-633. 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: Marios Agiomavritis (email available below). General contact details of provider: https://ersj.eu/ .

    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.