Artificial intelligence in Medicinal World is basically the use of algorithms(complex) and software to match human perception in the analysis of complicated medical data. More so ever, AI is the ability of complex computer algorithms to approximate derived results without direct human participation.

What distinguishes artificial intelligence technology from traditional technologies in healthcare is the ability to receive information, process it and deliver a clearly defined result to the end user. AI does this with machine learning algorithms. These algorithms can recognize patterns of behavior and form their own logic. To reduce the margin of error, the AI ​​algorithm must be re-tested. AI algorithms behave differently than humans in two ways:

(1) the algorithms are literal: if you set a goal, the algorithm cannot fine-tune itself and only understands what it was told explicitly, (2) and the algorithms are black boxes; algorithms can predict extremely accurate, but not cause .

Artificial intelligence in medicine may be characterized as the scientific discipline pertaining to research studies, projects, and applications that aim at supporting decision-based medical tasks through knowledge- and/or data-intensive computer-based solutions that ultimately support and improve the performance of a human care provider.

There are Six areas where AI can contribute to the fight against novel corona virus COVID-19

  i) Early warnings system

 ii) Disease tracking and prediction

 iii) Dashboards (data) 

iv) Diagnosis and disease prognosis

v) Treatment & alternative cure

vi) Social distancing

i) The better the virus can be detected, the better we can fight it. Analyzing news, social media platforms and government documents, AI can learn to detect an outbreak. Monitoring the risks of infectious diseases by AI is a service provided by Cadai startup BlueDot. In fact, BlueDot's AI warned of the threat several days before the Center for Disease Control and Prevention or the World Health Organization issued a public warning. The Canadian-based AI model, BlueDot, has already become legendary. It illustrates that a relatively low-cost AI tool (BlueDot was funded by a startup investment of around US$ 9 million) can out-predict humans in spotting infectious disease outbreaks.

ii) One can use AI to track (including abandon) and predict how novel corona virus COVID-19 disease will spread at that time and place. For example, since the last pandemic, the Zika virus in 2015 has developed a format neural network to predict its spread. However, such models need to be re-engineered using COVID-19 prevalence data. InferVision, an artificial intelligence company, has also announced a novel corona virus COVID-19 AI solution that enables first-line healthcare workers to efficiently detect and monitor disease.

iii) Tracking and forecasting COVID-19 has spawned the industry of data dashboards for visualizing pandemics. MIT Technology Review has created a ranking of these tracking and forecasting dashboards. The top dashboards are ranked by UpCode, NextStrain, JHU CSSE of John's Hopkins, Thebaselab, BBC, New York Times, and HealthMap. Other notable dashboards include Microsoft Bing's AI tracker.

While these dashboards provide a global overview, more and more countries already have their own dashboards. For example, India has established the COVID 19 https://www.mygov.in/covid-19/ Dashboard. It is maintained by The Indian Council of Medical Research (ICMR), New Delhi, the apex body in India for the formulation, coordination and promotion of biomedical research, is one of the oldest medical research bodies in the world too.

iv) COVID-19's fast and accurate diagnosis can save lives, limit the spread of disease, and generate data to train AI models. AI can provide useful input in this regard, especially for image-based medical diagnostics. According to a recent review of Artificial Intelligence applications for COVID-19 by researchers using UN Global Pulse, AI is as accurate as humans, saves radiologists time, and is faster and cheaper than standard tests Studies have shown that diagnostics can be performed on COVID19. Both X-ray and computed tomography (CT) scans can be used.

v) Long before the outbreak of COVID-19, AI was highly valued for its potential for discovering new drugs.

 Google's DeepMind division uses the latest AI algorithms and its computing power to understand proteins that can create viruses and make their discoveries to help others develop therapeutics. I was released. BenevolentAI uses AI systems to manufacture drugs that can fight the world's toughest diseases and is now helping support efforts to treat coronaviruses, the first time the company has focused its product on infectious diseases did.

vi) What is considered a "social distancing"? Researchers have defined this as "reducing contact outside the home, school or workplace by 75% across all homes." This does not mean you should go out with your friends instead of four times a week. This means that everyone makes every effort to minimize social interaction, and overall, the number of contacts falls to 75%.

AI can be further used to manage the epidemic by scanning public spaces for infected people, and implementing social disturbances and lockdown measures.

While the use of AI is hampered by the lack of historical training data to predict and diagnose COVID-19, there are no AI equipment such as compact AI transmissions and robots. Therefore, we are more likely to look short-term for the use of this type of AI and are being used for social control.

Relevant technologies, such as mobile phones with AI-powered apps or wearable’s that harvest the health data of locations, users and their owners, are also more likely to be employed.

Conclusion:

The more emphasis for this outbreak is to limit the Life-loss instead of economic loss as the

Life- loss is taking greater cost in terms of not only common people life but also the Doctors, Nurses ,Healthcare staff too. So More leverage of technology like Artificial Intelligence is better prediction of disease prevention plus disease control and therefore limits the loss of precious “Human “life.

Sources of Article

[1]. C. Sohrabi, Z. Alsafi, N. O’Neill, M. Khan, A. Kerwan, A. Al-Jabir, et al., "World health organization declares global emergency: A review of the 2019 novel coronavirus (COVID-19)", Int. J. Surg., vol. 76, pp. 71-76, Apr. 2020. [2]. N. Mehta and A. Pandit, "Concurrence of big data analytics and healthcare: A systematic review", Int. J. Med. Inform., vol. 114, pp. 57-65, Jun. 2018. [3]. Coronavirus Disease (COVID-19) Pandemic, 2020, https://www.who.int/emergencies/diseases/novel-coronavirus-2019. [4]. N. L. Bragazzi, H. Dai, G. Damiani, M. Behzadifar, M. Martini and J. Wu, "How big data and artificial intelligence can help better manage the COVID-19 pandemic", Int. J. Environ. Res. Public Health, vol. 17, no. 9, pp. 3176, May 2020.

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