Enhanced Humans

Human radiologists missed 7% of cancers in a study, a deep learning algorithm missed 0%

Ethan FoxJune 30th 2015
  • Enlitic’s technology uses machine learning to take medical information from one patient — whether it’s a CT scan, an X-ray or details about, say, a tumor — and then converts it into a mathematical representation.
  • The major issue is that medical institutions rarely share medical data. Not only do individual hospitals have their own data-keeping practices, but every department within that hospital does too. That means the vast amount of medical records are locked in servers, vaults and so-called “data silos.”
  • Enlitic is trying to put all the data together, from radiology, pathology, genomic, electronic medical records and more. The company is hoping its technology will hit the market in the next couple of years, and thanks to its algorithms, lives will be saved.

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