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Coronavirus: Researchers Develop First AI Tool To Detect COVID-19 Infection Probability
In a recent study, experts have finally found high accuracy in predicting the probability of COVID-19 infection using routine blood infection amid the pandemic.
While the world remained defenceless against the highly-infectious disease like COVID-19, a recent study has finally found high accuracy in predicting the probability of COVID-19 infection using routine blood infection. After over a year of the disease being discovered in China, while countries across the world are ramping up vaccine authorisation processes, a study conducted with collaborators from the University of Vermont and Cedars-Sinai describes the performance of Biocogniv’s new AI-Covid software.
First AI tool to help labs rule-out COVID-19 bignewsnetwork.com - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from bignewsnetwork.com Daily Mail and Mail on Sunday newspapers.
New AI-COVID Software Helps Clinical Labs to Rule-Out COVID-19
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Artificial intelligence could soon be added to the testing toolkits of hospital-based laboratories and doctors at the forefront of the COVID-19 pandemic.
Recent research by collaborators from the University of Vermont and Cedars-Sinai explains the performance of Biocogniv’s new AI-COVID™ software. The researchers discovered high precision in estimating the probability of COVID-19 infection during routine blood tests, which could enable hospitals to reduce the number of patients referred for scarce PCR testing.
Nine months into this pandemic, we now have a better understanding of how to care for patients with COVID-19, but there’s still a big bottleneck in COVID-19 diagnosis with PCR testing.
AI-COVID tool could help labs rule out COVID-19 theengineer.co.uk - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from theengineer.co.uk Daily Mail and Mail on Sunday newspapers.
Washington [US], December 11 (ANI): A recent study conducted with collaborators from the University of Vermont and Cedars-Sinai describes the performance of Biocogniv s new AI-COVID software.
The team found high accuracy in predicting the probability of COVID-19 infection using routine blood tests, which can help hospitals reduce the number of patients referred for scarce PCR testing.
Their study in the Journal of Medical Internet Research is available online. Nine months into this pandemic, we now have a better understanding of how to care for patients with COVID-19, said lead author and University of Vermont Assistant Professor Timothy Plante, M.D., M.H.S., but there s still a big bottleneck in COVID-19 diagnosis with PCR testing.