With the continuous advancement of artificial intelligence technology, the scope of its application is also becoming broader. In addition to smart cars, domestic and foreign capital and technology giants are actively deploying artificial intelligence + medical health industry, and an era of medical intelligence will be fully opened.
In the United States, Microsoft has announced plans to use AI for the health care program "Hanover," which they are trying to help find the most effective drugs and treatments. In addition, Microsoft is still studying how cancer can spread in different patients' bodies, even researching the creation of biological cells like computer programming; IBM's Watson is the first technology giant to deploy this field, IBM In May 2015, the Watson Health service was announced, and health data was collected and submitted to the Watson supercomputer for analysis. Various cooperations were established with Apple and medical companies and organizations. Google's DeepMind voted for Babylon Health in the UK. Business ventures such as Babylon Health).
In China, Carbon Cloud Intelligence, led by Wang Jun, the former CEO of Huada Gene, aims to collect all kinds of big data on vital signs and information. Based on this data, build a kernel model of artificial intelligence. It can even interpret human genetic and health information, alert health risks, conduct precision medicine and personalize medicine. Tencent is also heavily deployed in the artificial intelligence medical field. In April this year, it invested in Shenzhen's carbon cloud smart iCarbonX of 150 million US dollars. It also invested in the Bay Area medical and health products CloudMedX.
As of the end of August this year, the global health care sector and AI-related equity financing transactions have reached 55 times, compared with only 8 times in 2011. In all transactions with AI technology-related startups, the share of the health care sector rose from 11% in 2011 to 15% in 2015. The application of AI has gradually shifted from advertising marketing to health care. In recent years, in addition to traditional statistical analysis algorithms, deep learning and artificial intelligence have become powerful weapons for acquiring knowledge from massive data, and have gradually shown advantages in medical research applications based on big data.
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