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Facebook Wants To Use Machine Learning To Make MRIs Faster
Facebook believes they can use machine learning to speed up magnetic resonance imaging (MRI) scans. Computer scientists from the social networking site are working with New York University's medical school on the project. CNNMoney reports: 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. 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. Making the tests faster would allow radiologists to perform a wider variety of tests.
No, this idea is dead on arrival.
As a patient, if I discovered my doctor was using a "best guess" image, which let's face it, that is what this is, I would transfer hospitals instantly.
Having had a brain MRI a couple of months ago to rule out a tumor causing the nerve problem with my right eye, I completely agree with you. The Ophthalmologist I went to first set it up, and the imaging people then reported no tumor or other problems found. My Ophthalmologist then sent me to see a Neuro-Ophthalmologist at Jefferson University Hospital, where they in turn did their own evaluation of the image, just to make absolutely sure that it had been read correctly the first time. While the eye problem (right eye outside muscle isn't working, there's a blood clot in the vein that feeds the nerve) is annoying with a turned inwards right eye, it's really nice to know that I don't have any tumors or other bad problems in my brain.