AI, Machine Learning Playing Important Role In Fighting COVID-19

AI, Machine Learning Playing
Important Role In Fighting COVID-19

Introduction
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In the wake of this pandemic, it is the efforts of academic institutions to fight the
pandemic, which have been working on various strategies that are innovative and are
working constantly overtime. In the 21st century, COVID-19 came up as the first
world public health crisis, and nowadays many AI-powered projects are based on
data science or machine learning and are being used across a wide range of fields to
predict, and manage the distinguished situations caused by the health crisis.
For making those decisions, AI has been on constant support. Hence, though at any
step, no decisions are fully delegated to the algorithm. Artificial Intelligence is
contributing a lot in fighting with this deadly disease. Projects that are directly related
to medical or healthcare to lessen contagion have found an important ally in data
science to progress and help in delivering the results. With the algorithms of machine
learning and Artificial Intelligence, it is being quite easy to diagnose and optimize
medical care and follow up on the plans for better results.

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It is the theory that two healthcare workers are falling under the age of 30
who have fallen ill in Wuhan, China. One of them has survived and the other
was not fortunate to survive. But why? What is the reason behind it?
This is example research at the Radiological Society of North America.
Highlighting the point out for this phenomenon- that some of the patients are
falling ill and dying as some others are experiencing very mild symptoms are
none at all is the most mysterious element of the disease. Mortality is one of
the correlations with some of the major factors like age, gender, and other
major chronic conditions. Hence, more factors can be prognostic as the young
and individual have succumbed to the virus.
Overview

Some current tests could not properly determine whether the individuals have
the virus or not. They have no idea of how sick a COVID positive patient could
become. It is like for the first time that clinicians are not being able to predict
which patients are positive, which one will require hospital or the admission
for the oxygen and getting any possible ventilation.
As most cases are very mild, identify the ones that are at risk severely and
having critical cases that could help in facilitating and prioritizing the care and
the resources such as ventilators and ICU beds. The hospital admission can be
reduced if we figure out the persons who are at risk low and can be managed
with the patients at home. Also, it has been found that all the possible
combinations are of clinical parameters and these features are yielding high
accuracy by identifying those who will be going on the ventilator when
compared with the models that are using imaging features and also being
compared to the model that are using clinical parameters alone. New
technologies could be a helping hand as the health system will be continuing
to deal with large numbers of coronavirus patients across the globe.

With the aid of Artificial Intelligence and machine learning, it is quite easy to note
which person has Covid-19, but many of them are using distinguished approaches
while using the identical combination in determining which patients are required to
have the extensive and urgent treatment. In the research, many efforts have been
released that it has an urgent need to develop the automated measures to deal
with COVID-19 pulmonary diseases and if any severity by using chest radiographs
and have an algorithm for deep learning.
Many international researchers have proposed different AI models. Some of the AI
models use the geographical locations, travel history, and demographic data of the
COVID patients and then help in predicting the severity of the disease and its
further consequences. The future work with machine learning is mainly focused on
the development of a pipeline that helps in combining the CXR scanning models
with these kinds of data of healthcare and processing demographic models.
Imaging with AI

In respect to this, experts at different universities have also set out for
creating models using Artificial Intelligence that could calculate the risk
of patients suffering from COVID-19 and are needed to get intensive
care. These algorithms were designed to find the structure among the
patients who are being through the system and finding different traits
among the ones that are mostly affected. These patterns are then
compared with other data that are being collected from any patient
that has been currently hospitalized. Hence, rather than making choices
and decisions about who is getting the ventilator and who does not, the
big hope lies with using technology through Artificial Intelligence and
machine learning to make more firm and rational decisions.

The AI model is looking at all the databases being in all the antivirals that are
being used for a cure in virus-borne diseases like dengue, malaria, etc. and also
working at the chemical structure of the viruses that are identical to the
coronavirus. Based on this similarity, the Artificial Intelligence model is
recommended with old antivirals that are being used in treating COVID-19. This
helps in sharing the clinical insights and deriving the AI algorithm.
How does the AI model work?
Benefits of using AI
1) Enable the organizations to scale and adjust:
For every kind of organization whether small or large, their customers need to
maintain social distancing and find new ways to operate effectively. Hence, for the
healthcare institutions, the chatbots are enabled by machine learning to help in
the contactless screening of the symptoms of COVID-19 and then answering
questions from the public.

2) In understanding the spread for COVID-19:
Machine learning aids the researchers or the practitioners in analyzing the
huge volumes of data concerning predicting the spread of COVID-19. By
using Artificial Intelligence, new different methods have been developed
by the infections that are undetected and study how the virus would
mutate as it will be spreading throughout the population and interfering
as to how many other transactions have been missed. AI was used in
detecting outbreaks. Machine Learning is providing aid to the leaders and
since March, leaders can make more informed decisions in the face of
COVID-19. With AI best models you can easily identify the people that are
at more risk of having severe complications from COVID-19.

The AI model for computation has been calling for multidisciplinary projects
involving the science of data, chemistry, and other technology for bio. For
diagnosing the diseases and providing treatment for the same. Owning on the
fact that the pandemic requires all the combination for the drugs and
predicting the apt set for drugs. Machine learning and Artificial Intelligence can
help in predicting the right set of drugs to be utilized.
Also, the AI model can help in holding a high-level perspective for the students
researching and providing a boom in data and AI applications for the
diversifications. Moreover, they can also seek careers in this research in
informatics and the field fascinating them. Medicine and Health management
In the main context of the pandemic, AI is getting to be applied on and happens
to be delivering results in mainly three fields.
Applicability and researching projects

 In the research for the virus and development of vaccines and drugs
 In managing all the services and resources presented at the healthcare
centres.
 Analyzing the data to support the policy decisions aiming at managing the
crisis.
With regards to Artificial Intelligence and machine learning, works seem to be
progressing at modest places. Today, also there are so many questions that are
left unanswered. Relating to the virus. But still, also the team of researchers and
scientific teams are not dropping up and trying to break the new grounds every
day. Through AI it can predict the structures of the novel coronavirus and it is
essential for understanding how it has evolved and what are the measures that
could be taken to control it.

Several projects are using AI to identify what kind of drugs were developed
to fight other kinds of diseases which now can be taken up on coronavirus
repurposed. With the study of molecules set-up of old drugs with Artificial
Intelligence companies wish to identify the ones which may disrupt the
chance and way for the working of COVID-19. Knowledge powered by
Artificial Intelligence can digest very huge volumes of literature and research
biologically to find a link between the biologic and genetic properties of the
diseases and then composing and taking action for the drugs.
Using AI to find the drugs

Hence, with AI and machine learning, organizations have been really quick in fighting
against this virus to curb the pandemic. These technologies are unable in every field
right ticking from research to healthcare facilities and even in the field of agriculture.
Hence, Artificial Intelligence helps in understanding the role in addressing the crisis of
COVID-19. With the technology of machine learning, it enables the computer to
mimic just like human intelligence and get digested with huge amounts of data to
quickly follow the insights and patterns. Hence, tools based on AI are known to curb
and predict the severity of COVID-19.
Conclusion

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AI, Machine Learning Playing Important Role In Fighting COVID-19

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