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Google subsidiary DeepMind with the UK National Health Service to achieve cooperation, Nvidia has recently invested in medical imaging, for the followers of this field, the artificial intelligence is changing health care industry has nothing news. However, for those unfamiliar, a report released today by research firm CB Insightsnice will give them an idea of ​​the current state of the industry.
CB Insight's latest survey on artificial intelligence in the healthcare industry contains a lot of valuable content, including a piece of news: Since 2013, artificial intelligence startups have received $4.3 billion in funding in 576 rounds of financing. A number far exceeds other industries. Another shocking news is that in the first half of 2018, China overtook the UK as the second most active health care trading nation.
CB Insights analysts wrote: "The application of artificial intelligence in healthcare is to improve the patient's treatment effect, balance the interests of stakeholders, and reduce costs. China's large technology companies actively enter the artificial intelligence medical care with the support of the government. The health care industry, and through the cooperation with foreign companies to bring products from other countries to mainland China."
The report points out that pharmaceutical companies, especially those who want to develop drugs quickly, are interested in artificial intelligence. In May 2018, Pfizer (American Pharmaceuticals) established a strategic partnership with XtalPi, a company based on computational drugs. Companies such as Novartis, Sanofi, GlaxoSmithKline, Amgen, and Merck have also taken similar measures.
Fortunately for these companies, the Federal Food and Drug Administration has quickly tracked certain categories of artificial intelligence services, opening up more than 70 artificial intelligence imaging and diagnostic companies that have raised equity since 2013. Business is smooth.
The report shows: "At present, in view of the rapid development of artificial intelligence, the agency focuses on clearly defining and standardizing software medical devices ."
Despite the glory of artificial intelligence, CB Insights predicts that it will not quickly replace clinicians. Machine learning algorithms learn through annotated data. For example, Google's DeepMind builds an eye disease screening model by learning 14884 labeled scans. However, most of the marking work requires humans to complete.
Alibaba Cloud Executive Officer Wan Li told CB Insights: “The sample needs to be annotated by experts. If the sample is not labeled, we cannot know whether it is from a healthy person or a patient. This is an important step in the machine learning process. ."
All in all, in the future, you can reduce the number of visits. A self-diagnostic program will be applied, for example, using Dip. Io, a software that analyzes test strips with urine test strips and computer vision algorithms; Biofourmis can extract data from wearables to monitor health, and these applications have been approved by US regulators.
Analysts concluded: "Artificial intelligence is turning smartphones and wearables into powerful home diagnostic tools."
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