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A version of this story first appeared in STAT Health Tech, our weekly newsletter about how tech is transforming health care and the life sciences. Sign up here to receive it in your inbox.

At the peak of the Covid-19 wave that swept through New York City in the spring, with hospitals overwhelmed and more than 700 new virus deaths being reported each day, researchers there scrambled to build artificial intelligence models that could help doctors get a handle on the crisis.


Now, results are coming in on how well those models work. The data suggest that these tools may hold promise to help to combat an expected resurgence of cases this winter, though they are far from perfect at predicting a patient’s trajectory.

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