How Facebook — yes, Facebook — might make MRIs faster
▻https://money.cnn.com/2018/08/20/technology/facebook-mri-ai-nyu/index.html
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Doctors use MRI — shorthand for magnetic resonance imaging — to get a closer look at organs, tissues and bones without exposing patients to harmful radiation. The image quality makes them especially helpful in spotting soft tissue damage, too. The problem is, tests can take as long as an hour. Anyone with even a hint of claustrophobia can struggle to remain perfectly still in the tube-like machine that long. Tying up a machine for that long also drives up costs by limiting the number of exams a hospital can perform each day.
Computer scientists at Facebook (FB) think they can use machine learning to make things a lot faster. To that end, NYU is providing an anonymous dataset of 10,000 MRI exams, a trove that will include as many as three million images of knees, brains and livers.
Related: What happens when automation comes for highly paid doctors
Researchers will use the data to train an algorithm, using a method called deep learning, to recognize the arrangement of bones, muscles, ligaments, and other things that make up the human body. Building this knowledge into the software that powers an MRI machine will allow the AI to create a portion of the image, saving time.