Artificial intelligence had already been in use by hospitals, but the unknowns with Covid-19 and the volume cases created a frenzy of activity around the United States. Models sifted through data to help caregivers focus on patients most at-risk, sort threats to patient recovery and foresee spikes in facility needs for things like beds and ventilators. But with the speed also came questions about how to implement the new tools and whether the datasets used to build the models were sufficient and without bias.
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