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Hundreds of AI solutions proposed for pandemic, but few are proven

May 28, 2020   |   MedCity News

In a rush to find solutions for the Covid-19 pandemic, researchers are deploying machine learning algorithms to trawl through data that might give us more clues about the virus. Some claim to have identified potential treatments based on the data, while others are using it to screen patients or identify those at highest risk.

But, like their vaccine and drug counterparts, many of these algorithms are still unproven. With hundreds of research articles describing the use of artificial intelligence or machine learning — many of them preprints — it can be difficult to sort out which ones are most effective.

“I’ve heard a lot of hype about machine learning being applied to battling Covid-19, but I haven’t seen very many concrete examples where you could imagine in the short- or medium-term something that is going to have a substantial effect,” said John Quackenbush, chair of the Department of Biostatistics at the Harvard T.H. Chan School of Public Health, in a phone interview. Read More…

Authors

Elise Reuter

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