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.
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.
