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Why AI fell short in slowing the spread of COVID-19
This spring, much of the healthcare industry hoped that artificial intelligence could be a key tool in stemming the spread of the COVID-19 pandemic across the world.
But the results weren’t just underwhelming. In some cases, they were “anti-constructive,” said Dr. Isaac Kohane, chair of the Department of Biomedical Informatics at Harvard Medical School, during a FutureMed presentation on Thursday.
“We in healthcare were shooting for the moon, but we hadn’t gotten out of our own backyard,” said Kohane.
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