Artificial Intelligence, Human Brain And Coronavirus

Did artificial intelligence beat the human brain by forecasting a severe outbreak of coronavirus in China?
In a sense, yes. But while humans may not have done it with the same speed, they compensated for this with certain attitudes.
Early detection of an outbreak can help save lives. At the end of 2019, a Boston artificial intelligence (AI) system issued the first global alert about an outbreak of a virus in China. But it was human intelligence that realized the magnitude of the outbreak and sought answers from the medical community.
What’s more, mere mortals issued a similar alert just half an hour later than AI systems.
For now, AI disease alert systems seem more like car alarms: They make a noise about anything and are sometimes ignored. A network of medical experts and detectives must analyze more material to get an accurate idea of ​​what happened. It is hard to say what impact the AI ​​systems of the future can have, fueled by increasingly large databases, in terms of disease outbreaks.
The first public alert outside China about the novel coronavirus arrived on December 30, from the automated HealthMap system at Boston Children’s Hospital. At 11:12 p.m., HealthMa issued an alert about unidentified pneumonia in the Chinese city of Wuhan. The system, which analyzes online news and social media reports, gave its alert a category of three on a scale of five.
It took HealthMap researchers several days to realize the severity of the outbreak.
Four hours before the HealthMap alert, the New York epidemiologist Marjorie Pollack had started working on her own alert, motivated by a personal email she had received shortly before.
“This is being distributed through the internet here,” wrote his contact, who reprinted a post on a Pincong internet forum. The post spoke of a warning from the body that manages health in Wuhan and said: Unexplained pneumonia?
Pollack, who is deputy director of the Program for the Monitoring of New Diseases, run by volunteers and is known as ProMed, promptly mobilized a team to analyze the matter. A more detailed ProMed report circulated about 30 minutes after the brief HealthMap alert.
Emergency detection systems that analyze social networks, news on the internet and government reports for signs of infectious disease outbreaks help inform international agencies such as the World Health Organization, allowing experts take the bull by the antlers early without tripping over bureaucratic and language obstacles.




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