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What can be more terrible than have a chance to know the probability of dying. The company of Medical Brain team has created new artificial intelligence (AI) algorithm that can predict the possibility of a patient dying more correctly than a doctor can. Google’s Medical Brain was 95 per cent accurate in the first hospital and 93 per cent accurate in the second hospital. The paper was published in the “Journal Nature”.
“This was significantly more accurate than the traditional predictive model,” the paper stated. “These models outperformed traditional, clinically-used predictive models in all cases. We believe that this approach can be used to create accurate and scalable predictions for a variety of clinical scenarios.”
How is it found out? A woman with late-stage breast cancer checked into a hospital with fluid in her lungs and got a radiology scan done. The hospital computer analyzed her vitals and predicted a 93% chance of her dying during her stay there. Then the woman passed away after a few days. The company had published a bad news of woman’s death and talked about the healthcare of benefits of neural networks, a type of artificial intelligence software that analyses data to learn and evolve.
What medical experts found the algorithm’s ability to access and assess data that could not be used earlier.
“They have finally found a new application for AI that has commercial promise, “one Googler says. Since Alphabet Inc.’s Google declared itself an “AI-first” company in 2016, much of its work in this area has gone to improve existing internet services. The advances coming from the Medical Brain team give Google the chance to break into a brand new market — something co-founders Larry Page and Sergey Brin have tried over and over again,” mentions bloomberg.com.
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