It’s been a running pitch for years that artificial intelligence could help deliver more accurate and more consistent healthcare outcomes, especially in diagnoses that may rely on a subjective eye. But the COVID-19 pandemic offered a chance for trial by fire.

And in this case, at least, the machine wins.

In a human vs. AI study, researchers found that the technology was much more effective at predicting which coronavirus patients would suffer severe complications and face a higher risk of dying, based on analyses of cardiac ultrasound exams.

By parsing recorded videos of echocardiograms, algorithms developed by the Oxford University spinout Ultromics were able to assess the beating heart muscle and spot signs of damage caused by COVID-19—linked to higher mortality rates both inside the hospital and in the months following treatment.

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