AI predicts long-term mortality from chest X-ray data

New York, Researchers have developed an Artificial Intelligence (AI)-powered tool that can harvest information in chest X-rays to predict long-term mortality.

The findings of this study, published in the journal JAMA Network Open, could help to identify patients most likely to benefit from screening and preventive medicine for heart disease, lung cancer and other conditions.

“This is a new way to extract prognostic information from everyday diagnostic tests,” said one of the researchers, Michael Lu, from Massachusetts General Hospital(MGH) of Harvard Medical School.

“It’s information that’s already there that we’re not using, that could improve people’s health,” Lu said.

Lu and his colleagues developed a convolutional neural network – an AI tool for analysing visual information – called CXR-risk. 

It was trained by having the network analyse more than 85,000 chest X-rays from 42,000 participants who took part in an earlier clinical trial. 

Each image was paired with a key piece of data: Did the person die over a 12-year period?

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