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.
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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.
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.
Imaging with AI
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.
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.
How does the AI model work?
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.
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.
Applicability and researching projects
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.
- In the research for the virus and development of vaccines and drugs
- In managing all the services and resources presented at the healthcare centres.
- Analysing 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.
Using AI to find the drugs
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.
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.