Aycan has launched the aycan AI anonymizer, a configurable tool that automatically removes protected health information (PHI) from DICOM metadata and burned-in pixel data during medical imaging data routing and sharing.
The tool is available as an in-line module within aycan's DICOM router, anonymizing images during routing without requiring a separate workflow step, according to the firm. It is also available as an add-on to aycan store PACS.
The anonymizer is designed to support compliance with HIPAA and General Data Protection Regulation (GDPR) and can be configured to identify and delete forms containing detectable text and remove secondary captures, the company said.
![A normal mammogram confirmed by three-year radiologic follow-up illustrates reader-marked regions of interest (ROIs) during (A) unaided (round 1) and (B) artificial intelligence (AI)–assisted (round 2) reading. Each colored dot represents an ROI for recall by a human reader. Readers could mark more than one ROI per case, represented by multiple dots of the same color. During AI-assisted reading, the AI system displayed three visible prompts: two with suspicion of malignancy scores of 35% (left mediolateral oblique [L MLO] and craniocaudal [L CC]) and one with a suspicion of malignancy score of 10% (right craniocaudal [R CC]), shown as polygonal overlays. Without AI, six of 10 readers (60%) marked a false-positive ROI. With AI assistance, this fell to two of 10 (20%). R MLO = right mediolateral oblique.](https://img.auntminnie.com/mindful/smg/workspaces/default/uploads/2026/07/2026-07-14-radiology-mammogram-ai-auto-bias.H0bYO8QlWs.jpg?auto=format%2Ccompress&dpr=2&fit=crop&h=167&q=70&w=250)
