New self-supervised AI models scan X-rays to predict prognosis of COVID-19 patients

New self-supervised AI models scan X-rays to predict prognosis of COVID-19 patients


Researchers from Facebook and NYU Langone Health have created AI models that scan X-rays to predict how a COVID-19 patient’s condition will develop. The team says that their system can forecast whether a patient may need more intensive care resources up to four days in advance. They believe hospitals could use it to anticipate demand for resources and avoid sending at-risk patients home too early. Their approach differs from most previous attempts to predict COVID-19 deterioration by applying machine learning techniques to X-rays. These typically use supervised training and single timeframe images. This method has shown promise, but its potential is constrained by the time-intensive…

This story continues at The Next Web
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