Facebook will use AI for healthcare
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The global tech giant Facebook has entered the domain of medical diagnostics, leveraging the tools of Artificial Intelligence for predicting&nbsp; the treate ent protocol for&nbsp; Covid-19 patients.</p>
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In a detailed blog post,Facebook spotlighted three&nbsp; models for visualising treatment based on medical information. The&nbsp; first model is based on a single chest X-ray,&nbsp; and the other depends on a series of X-rays, to predict whether&nbsp; the condition of&nbsp; a patient infected by COVID-19 is likely to worsen. A third model can predict how much extra oxygen a patient of a covid-19 would require during the treatment.</p>
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&ldquo;These predictions could help doctors avoid sending at-risk patients home too soon, and help hospitals better predict demand for supplemental oxygen and other limited resources,&rdquo; read a statement by Facebook employees in the blog post.</p>
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The models, based on research carried out by Facebook AI researchers Anuroop Sriram, Matthew Muckley, Koustuv Sinha, and Nafissa Yakubova, have been published as open-source materials to assist the global healthcare community amid the ongoing outbreak of COVID-19.</p>
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In order to find out how to make predictions, the AI system was fed into two datasets of non-Covid affected person&#39;s chest X-rays and a dataset of 26,838 chest X-rays from 4,914 COVID 19 sufferers.</p>
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The researchers pointed out that&nbsp; they used an AI method referred to as &ldquo;momentum contrast&rdquo; to prepare a neural community to extract data from chest X-ray pictures. A neural community is a computing system vaguely impressed by the human mind that may spot patterns and acknowledge relationships between huge quantities of knowledge.</p>
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Facebook is publishing a research conducted by its AI unit that will help healthcare providers predict in advance how much intensive care a COVID-19 patient needs and provid resources accordingly.</p>
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Recently&nbsp; On a detailed blog post Facebook stated that 2 models have been developed. One is based on a single chest X-ray and the other is a series of X-rays that could predict if a patient infected by COVID-19 is likely to worsen. A third model can predict how much extra oxygen a patient of a covid-19 may need.</p>
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The research, which can help produce predictions based on chest X-rays, has been done in collaboration with NYU Langone Health&#39;s Predictive Analytics Unit and the Department of Radiology.</p>
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