Healthcare providers, hospitals and pharma companies are dealing with massive amounts of healthcare visual data such as X Rays, Retina scans etc.
It is hard to understand what is inside and deal with quality issues for example outliers, issues with equipment, de-annonimization artifacts, duplicates, corruptions and wrong metadata.
Doctor notes are scarce and those organizations struggle to sort and analyze the data.
Visual Layer platform runs on-prem, indexes the visual data automatically. We surface quality issues, find metadata problems including wrong doctor's diagnosis and help create high quality subsets for deep learning model training.
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Our platform can be used by doctors, lab managers, researchers and computer vision experts.
Watch how Visual Layer enhances the quality and usability of healthcare visual data through AI-powered insights.
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