November 9, 2017 — Deep learning imaging analytics company Zebra Medical Vision announced that all its current and future radiology algorithms will be enabled on the Google Cloud as part of its new AI1 offering to global health providers.
With over 450 new petabytes per year in imaging data, based on IDC’s health insights 2017, the amount of imaging storage is expected to double in the next five years and substantially challenge health providers to keep track of scaling their storage and IT infrastructure, according to the company. Over the last two decades, the demand for imaging services has been increasing, outpacing the supply of qualified physicians, stretching providers and radiologists to constantly produce more output, without compromising patient care. By adopting new technology, health providers can significantly enhance the capabilities of radiologists and enable better population health management.
Using millions of longitudinal high-quality imaging scans, Zebra-Med has been developing an artificial intelligence engine that can automatically detect various medical findings in imaging scans. Current capabilities include automatic detection of liver, lung, cardiovascular and bone disease, all while new capabilities are constantly being released – covering breast cancer, lung cancer, brain trauma, hypertension and other clinical areas. Zebra-Med’s findings are integrated into the picture archiving and communication system (PACS) running on Google Cloud Platform, allowing radiologists to include them in their reading and reporting workflow. This automated assistance contributes to more comprehensive, quantitative and consistent reporting, improving the output of radiologists and contributing to overall improved patient care.
Zebra Medical Vision Co-founder and CEO Elad Benjamin said the company has committed to providing its current tools, and all future ones, for a flat $1 per scan.
For more information: www.zebra-med.com