Automatic de-identification of medical images
Medical research relies heavily on Big Data – large volume of training and testing data is required to build an automatic medical diagnostic tool using advanced Machine Learning techniques. However, presence of Protected Health Information (PHI) in medical images constitutes a significant hurdle to sharing and aggregating data. Due to sheer volume of the datasets, manual removal of PHI is not scalable and building a tool for automatic PHI detection, deletion and masking is crucial.
After three years of Research & Development, Glendor has developed PHI Sanitizer, an AI-based system for automatic removal of PHI information from medical images and metadata on customer premises.