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Artificial intelligence based early diagnosis of sepsis

  • Amer Kareem
    ,
  • Rejwan Bin Sulaiman
    ,
  • Shaik Vaseem Akram
    ,
  • M. Maurya
    ,
  • I.S. Chakrapani
    ,
  • P. Sasikala
  • Uttaranchal University
    ,
  • SS Dental College & Hospital
    ,
  • PRR&VS Government College
    ,
  • Kongunadu Arts and Science College
Research Output: Chapter in Book/Report/Conference proceeding Conference contribution Peer-review

Abstract

Sepsis is a major killer of those who are already in a serious condition. The morbidity and death rates in this field remain high, despite the fact that medical technology has been advancing steadily over the last several years. This is due mostly to people not beginning therapy quickly enough and doctors not following best practices. Medical decision support solutions have advanced greatly with the help of artificial intelligence (AI), a rapidly developing sector in the medical industry. Great promise has been shown in its ability to anticipate patients' clinical conditions and aid clinical decision-making. Early prediction, prognosis evaluation, mortality prediction, and optimum treatment are just few of the areas where algorithms developed using artificial intelligence may be put to use. This article summarizes the most recent research on AI based clinical decision support in sepsis as well as explains how this cutting-edge technology might aid in sepsis prediction, identification, sub phenotyping, prognostic evaluation, and clinical treatment. We also spoke about the difficulties of using this non-conventional approach in clinical practice.

Publication Information

Output type

Research Output: Chapter in Book/Report/Conference proceeding Conference contribution Peer-review

Original language

English

Pages from-to (Number of pages)

Pages 1557-1562 (6 pages)

Publication milestones

  • Published - 23/07/2023

Publication status

Published - 23/07/2023

Publisher

Institute of Electrical and Electronics Engineers Inc., United States

Publication series

  • Publication series name: 2023 3rd International Conference on Advance Computing and Innovative Technologies in Engineering, ICACITE 2023

ISBN (Print)

9798350399264

ISBN (Electronic)

9798350399264

External Publication IDs

  • handle.net: 10547/626917
  • Scopus: 85178312839

Host publication title

2023 3rd International Conference on Advance Computing and Innovative Technologies in Engineering, ICACITE 2023

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