ainerd August 17, 2020

Few would argue that artificial intelligence is driving a paradigm shift in health care, or that it could be a key factor in predicting the next outbreak. COVID-19 (SARS) spread across the continent, using similar mechanisms to invade and infect cells. This is exactly the application that the Canadian company Blue Dot is trying to use, as the first organization to report on the outbreak reported at the end of December.

But to what extent is artificial intelligence really at the point where it can provide effective insights and solutions to stop the current epidemic? Just before the outbreak, there were a myriad types of artificial intelligence – technologies that are now in full use, such as machine learning, artificial intelligence, and deep learning.

But behind the scenes, more futuristic technologies powered by artificial intelligence are helping to detect coronavirus symptoms, find new treatments, and track the spread of the disease. In China, where health workers regularly check people’s temperatures, potentially unreliable devices known as thermometers and weapons are becoming increasingly common.

Powerful surveillance technologies, including facial recognition, cameras and drones, also help find people who may be ill but are not wearing masks. Early warning systems like HealthMap underscore the importance of monitoring infection, even in the face of outbreaks of a deadly disease like coronavirus like Ebola.

As the COVID-19 pandemic continues to spread around the globe, artificial intelligence researchers are working with technology companies to develop automated tracking systems that will look for signs of new outbreaks. We can meet that need, “says Dr Michael O’Brien, a Microsoft computer scientist who has worked with health authorities in the UK. But he warns that AI is no substitute for traditional public health surveillance.

In other words, DeepMind does not test AlphaFold’s predictions on computers, but displays the results there so that researchers can use them to develop treatments for COVID-19.

It is believed that artificial intelligence systems were the first to discover that an outbreak of the coronavirus, when still localised in the Chinese city of Wuhan, could become a complete global pandemic. Although the AI-driven HealthMap, which works with Boston Children’s Hospital, only classified the severity of the outbreak for the media, it is believed to have picked up a growing number of unexplained cases of pneumonia shortly after human researchers arrived. But computers, not humans, first sounded the alarm internationally because of the COVID-19 pandemics.

A Boston Children’s Hospital website has used artificial intelligence (AI) to look for signs of disease outbreaks. On December 30, 2019, a data mining program in Wuhan, China, discovered reports of a new type of pneumonia. COVID-19, caused by the SARS-CoV-2 virus, was identified in China in December 2019 and declared a global pandemic on 11 March 2020.

Artificial intelligence (AI) has been at the forefront of the fight against diseases such as SARS-CoV-2, Ebola, Zika and Zika virus.

Machine learning has also helped researchers and practitioners analyze large amounts of data to predict the spread of COVID-19 and acts as an early warning system for future pandemics and vulnerable populations. AI can be defined for today’s purposes as a process that teaches a computer to use big data – based models for pattern recognition, explanation, and prediction. After analyzing 12 regions around the world, researchers at Chan Zuckerberg Biohub in California created a model that estimates the probability of CO VID-19 infection undetected.

Through machine learning, and in collaboration with the AWS Diagnostic and Development Initiative, they developed a new method to quantify undetected infections and analyze how the virus mutates as it spreads in the population, to infer how many transmissions have been missed.

Artificial intelligence company Infervision launched BlueDot, an AI solution for coronavirus that helps healthcare workers efficiently detect and monitor diseases. The Canadian start-up and AWS customer, which uses AI to detect disease outbreaks, was the first company to raise the alarm about the potential of a flu pandemic outbreak in the United States at the start of the pandemics. In addition to the public warning from the US Centers for Disease Control and Prevention (CDC) and the US Department of Health and Human Services (HHS), Blue Dot AI warns of real-time threats.

According to Dr. Michael O’Brien, co-founder and chief technology officer of Infervision, image departments in healthcare facilities are burdened with the increased workload caused by the virus.

BenevolentAI uses AI systems to develop drugs that can fight some of the world’s most serious diseases. As the company’s products are focused on infectious diseases for the first time, they can help treat coronavirus. Google’s DeepMind division has used its deep-learning technology to understand the proteins that could make up the virus, and has released its findings to help others develop treatments. Chinese e-commerce giant Alibaba has also developed an AI-based diagnostic system to diagnose viruses in seconds.

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