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</html><thumbnail_url>https://gizmodo.com.au/wp-content/uploads/2018/01/19/np2sraurgrur4wgvijag-scaled.jpg?quality=75</thumbnail_url><thumbnail_width>2560</thumbnail_width><thumbnail_height>1542</thumbnail_height><description>By using an artificially intelligent algorithm to predict patient mortality, a research team from Stanford University is hoping to improve the timing of end-of-life care for critically ill patients. In tests, the system proved eerily accurate, correctly predicting mortality outcomes in 90 per cent of cases. But while the system is able to predict when [&hellip;]</description></oembed>
