How big data is transforming healthcare.
A growing number of start ups are beginning to use artificial intelligence to improve—and in some ways upend—the health care industry. And that might be as simple as a diagnosing a cough or as complex as curing cancer.
Cloud DX, a startup based in Toronto, for example, is using a concoction of data and machine learning to identify tuberculosis, pneumonia, upper respiratory infection and bronchitis by teaching AI to detect the difference between the diseases based on how a cough sounds. By recording 750 coughs from patients, along with 1,500 fake coughs from healthy people, the software can tell the difference between tuberculosis, pneumonia, upper respiratory infection or bronchitis.
“It’s just like Dr. House,” CEO Robert Kaul said, referencing the cranky-but-brilliant physician from the hit TV show House. “It’s all about making the algorithm smarter than the doctor’s gut.”
Cloud DX is just one of many AI start ups looking to reinvent the health care sector—an industry that thanks to its tedious billing systems, complex treatments and expensive R&D is in need of an overhaul. According to Accenture Interactive, which analyzed data from more than 3,000 health care companies, the industry is in a “period of vulnerability.” That’s in large part due to weaknesses in efficiencies related to labor, transactions and innovations.
This story is from the June 11, 2018 edition of ADWEEK.
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This story is from the June 11, 2018 edition of ADWEEK.
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