In 2013, the data was only slowly growing to 4.4 ZB, but emc expects this number to double every two years, and by 2020 it will reach 44 ZB, or an astonishing amount of 44 billion GB. If artificial intelligence is used to sort out and calculate these vast data, human beings will be at a loss. It is true that we are far from reaching the stage of strong artificial intelligence, but we have achieved certain achievements on the level of weak artificial intelligence. Siri, Xiaona, OK Google, and Echo can quickly retrieve and answer simple questions asked by humans in a short period of time. Humans are also trying to go further and be closer to our lives on artificial intelligence. For example, in DoNotPay last September, the app was developed by 19-year-old Stanford student Joshua Bowder, who can handle unpaid parking tickets in one minute. As of June, the app has processed 160,000 of the 250,000 tickets in New York and London, with a success rate of 64%. Imagine if this high-performance application in the health field can save a lot of people's lives? The combination of artificial intelligence and health can make the patient's treatment process more convenient, doctors can reasonably schedule the surgery, and even provide advice for doctors when they see a doctor. Andy Schuetz, a data scientist at Sutter Health, said, "Although I don't know if a mature artificial intelligence algorithm can take two or ten years to achieve, this vision is being realized." Just look around the health of the artificial intelligence market and you'll find what he says. Although IBM Watson often dominates the headlines of AI health, there are many familiar names that appear in this section: Dell, Apple, Hitachi Institute, Alchemy API, Lumiata... and this is just a glimpse of the leopard. At present, there are many successful cases of artificial intelligence practice in the field of health, which undoubtedly indicates its optimistic prospects. The author will next look at a few of the more popular health areas with everyone: Data mining The combination of health and artificial intelligence, the simplest association is naturally data management. Collecting, storing, isomorphizing, and tracking its sources can really disrupt existing health systems. Google's DeepMind Health program mines a large number of visits to provide a better and more efficient health care experience for patients. The author has previously reported that DeepMind has worked with the UK's National Health Service (NHS) twice and will work with Moorfields Eye Hospital to develop a machine learning system for visual diseases (please click here for details). Personal Protection Kit ,Reusable Face Mask,Anti-Dust Face Mask,Protection Mask Zhejiang Lanhine Medical Products Ltd. , https://www.lanheyiliao.com.jpg)
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