• Wrong document? Swap it for free
  • Written by students who passed
  • Immediately available after payment
  • Read online or as PDF
Sell
Where do you study
Your language
Document preview thumbnail
Preview 1 out of 3 pages
Summary

Summary AI(artificial intelligent) application for Covid-19

Document preview thumbnail
Preview 1 out of 3 pages

This document is about a literature review of the AI application for Covid-19. Introduction and Solutions for AI application about covid-19. Around 800 Words in three A4 s. Including References / Sources.

Content preview

1. Definition
st
In the 21 century AI has become an important area of re-search in virtually all
fields. So the delivery of health care requires the support of new technologies such as AI
IOT, Big Data, and Machine Learning to fight forward-looking against new diseases. We
aim to review the role of AI as state-of-the-art diagnostic technology, to prepare us for
the protection and fight against COVID-19 and other epidemics.
A quick review of the literature is done on Scopus, and Google Scholar websites
using the keyword COVID-19 or Coronavirus and Artificial Intelligence or AI. The latest
information on the AI of COVID-19 was collected, and similar analyzes were made to
determine the probable cause of the disease. We have identified seven key AI
applications for the COVID-19 epidemic. These technologies play an important role in
detecting a collection of cases and predicting what the virus will affect in the future by
collecting and analyzing all previous data.
Healthcare organizations have an urgent need for decision-making technology to
catch the virus and help them get the right recommendations in real time to prevent its
spread. AI works at a high level of imitation as human intelligence. It may also play an
important role in understanding and promoting the development of the COVID-19
policy. These results-based technologies are used to accurately assess, analyze, predict
and track current patients and potential future patients. Essential applications are used
in data for certified, restored and death case tracks.



2. Background

2.1 Introducing

In this global health crisis, the medical industry is looking at new technologies to
monitor and control the spread of the COVID-19 (Coronavirus) epidemic. AI is one
such technology that can easily track the spread of the virus, identify high-risk
patients, and is helpful in controlling the disease in real-time. It may also predict
mortality risk by adequately analyzing previous patient data. AI can help us fight the
virus by testing population, medical help, notification, and suggestions about
infection control.

Document information

Study
Uploaded on
February 3, 2022
Number of pages
3
Written in
2021/2022
Type
Summary
$4.99

Wrong document? Swap it for free Within 14 days of purchase and before downloading, you can choose a different document. You can simply spend the amount again.
Written by students who passed
Immediately available after payment
Read online or as PDF

Sold
0
Followers
0
Items
4
Last sold
-



Why students choose Stuvia

Created by fellow students, verified by reviews

Quality you can trust: written by students who passed their tests and reviewed by others who've used these notes.

Didn't get what you expected? Choose another document

No worries! You can instantly pick a different document that better fits what you're looking for.

Pay as you like, start learning right away

No subscription, no commitments. Pay the way you're used to via credit card and download your PDF document instantly.

Student with book image

“Bought, downloaded, and aced it. It really can be that simple.”

Alisha Student

Working on your references?

Create accurate citations in APA, MLA and Harvard with our free citation generator.

Working on your references?

Frequently asked questions