With the development of AI technology, it is a past tense to rely on this technology to advertise its own unique era. The public is no stranger to AI, and can really feel it in life. Today, it is difficult for technology companies to find a venture capitalist or partner who is not interested in this machine learning technology.
However, if you want to use AI technology to innovate the healthcare industry, the threshold is obviously higher than other industries. Even with the hot spot of AI, its heat is falling rapidly, because in the medical industry , an algorithmic error often means The difference between life and death.
When we talk about medical AI, how should we look at it, and what are their current applications? Regarding these questions, the author combed and compiled the latest in-depth articles of mobihealthnews to readers.
When I have not yet put all my family on the AI
In the past five years, digital medical companies using various AI technologies have sprung up. CB Insights tracked 106 medical companies that specialize in AI technology this year. The report pointed out that since January 2015, 50 companies have launched their first round of public offerings. The volume of transactions of the reporting companies increased from 20 in 2012 to 60 in 2017. Some new unicorns have emerged in 2017, such as iCarbonX and Tumor-focused Flatiron Health.
From virtual nurses to drug discovery, CB Insights combed 106 artificial intelligence companies
In a recent survey, more than half of hospitals had plans to introduce AI technology within five years, and another 35% of hospitals planned to introduce them in the last two years. Recently, Boston's Partners HealthCare also announced a ten-year collaboration with GE Healthcare to integrate deep learning technologies into their networks. However, the application of AI in medical treatment will never stop improving the clinician's workflow and speeding up insurance claims.
The two-day Light Forum meeting has just concluded, bringing together corporate CEOs, medical information technology experts and doctors from Stanford University. During the meeting, Andy Slavitt, who worked as an administrative staff member at the Medicare and Medicaid Service Center, said: “We are currently addressing productivity issues. We need to take care of those who are short of resources, rather than pursuing business models and More complicated problems, or always trying to invent new tools, can't really improve productivity. I think this is the foothold of data and machine learning."
Respondents in hospital research indicated that AI technology may have a greater impact on population health, clinical decision support, diagnostic tools, and precision medicine. Even in drug development, AI can make data collection and testing progress faster and more accurate, and reduce costs. But now it is not yet time to put all of us in AI.
Roam Analytics chief scientist and co-founder Andrew Maas said during the Light Forum: "The human brain is still a powerful decision maker. Although computers have unlimited prospects, their reliability is not enough. We fully trust."
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