Doctors in China have been given a new powerful tool to help them quickly diagnose potential coronavirus sufferers. Called inferVISION, this AI-based software can quickly highlight potential problem cases in record time. A team of physicians in Wuhan, China, at the Zhongnan Hospital are using GPU-accelerated software to detect the visual signs of COVID-19. This AI-based software relies on NVIDIA GPUs for both training and inference and is alleviated the pressure on overworked staff to screen patients for the virus. The software is greatly helping medical staff to prioritize those who are likely to have contracted the virus.
A version of this story appeared in STAT's Health Tech newsletter. Artificial intelligence is not going to stop the new coronavirus or replace the role of expert epidemiologists. But for the first time in a global outbreak, it is becoming a useful tool in efforts to monitor and respond to the crisis, according to health data specialists. In prior outbreaks, AI offered limited value, because of a shortage of data needed to provide updates quickly. But in recent days, millions of posts about coronavirus on social media and news sites are allowing algorithms to generate near-real-time information for public health officials tracking its spread.
John Brownstein is co-founder of HealthMap, a system using artificial intelligence to monitor global disease outbreaks. John Brownstein is co-founder of HealthMap, a system using artificial intelligence to monitor global disease outbreaks. John Brownstein is co-founder of HealthMap, a system using artificial intelligence to monitor global disease outbreaks. John Brownstein is co-founder of HealthMap, a system using artificial intelligence to monitor global disease outbreaks. BOSTON -- Did an artificial intelligence system beat human doctors in warning the world of a severe coronavirus outbreak in China?
The rapid emergence and spread of the novel coronavirus, 2019-nCoV, has alarmed people around the world. While the possibility of a global pandemic is real, people can take some solace in the fact that public health officials have at their disposal an array of powerful data collection and analytics techniques that previous generations lacked. The virus, which causes a pneumonia-like illness that's quite similar to the Severe Acute Respiratory Syndrome (SARS) outbreak 2003 that killed 800 people, appears to have jumped into the human biome at an exotic meet market in Wuhan, China, where delicacies like bats and snakes were sold to the public. But what makes 2019-nCoV dangerous is its ability to spread from human to human, and that's how more than 17,000 Chinese citizens have gotten sick. However, before Chinese authorities could quarantine Wuhan and surrounding areas, infected individuals were allowed to travel around the world, and today individuals in 20 countries have been reported to be infected with 2019-nCoV, which the World Health Organization (WHO) last week declared a global health emergency.
An audio version of this Medium article is available on Spotify and Apple Podcasts. The coronoavirus of 2019 (COVID-19) is being solved with Artificial Intelligence and Data Science. Global researchers are partnering on scientific breakthroughs to rapidly deploy and test new vaccines, to determine hotspots of the disease growth, and to recommend strategies with the World Health Organization for disease quarantine and prevention. Since the December 2019 outbreak of the #coronavirus (COVD-19) in China, I have been closely watching the news and listening to speeches about the deadly virus. There is panic everywhere with people wearing masks and others locked in their houses all day to avoid contracting the virus.