« Label » is a solution that was developped by Imageens, in collaboration with AP-HP (the leading hospital group in France). It aims at exploiting medical imaging data stored in healthcare warehouses.
A new gold mine
Today, many diagnoses or routine treatments go through a medical imaging device such as MRI, CT scanner, or ultrasounds. The images emanating from these examinations are anonymized and placed in health data warehouses (EDS) . These data represent a gold mine of information as it enables us to enter into a virtuous clinical evolution. Despite this potential, finding the right images is like finding a needle in a haystack. These images without being tagged and classified are difficult for researchers to use, which limits their valuation. It is in this perspective that our platform « Label”, co-developed by IMAGEENS and AP-HP as part of an innovative public-private partnership, takes on its full importance.
Core technology
Label’s algorithms place tags, similar to labels, on the images, one by one, according to their characteristics. Data can be categorized by body part imaged, type of imaging exam, or even quality. Researchers no longer spend time pruning a mass of images, they now have access to data already sorted and annotated by algorithms – an essential shift from “big data” to “smart data ».
Privacy
All data processed by Label’s artificial algorithms is anonymized. Personal information is not attributable to an individual, to ensure patient privacy. « Label” is grafted directly to the hospital device.
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