Create safe DICOM anonymization workflows that protect patient data while preserving the metadata needed for imaging research and AI.
PYCAD helps medical imaging teams build production-minded software around DICOM, AI models, datasets, viewers, and clinical workflows. This service is for teams with a serious use case, real stakeholders, and a need for an implementation partner.
Who this is for
- Healthcare AI startups building imaging products.
- Hospitals, research teams, and imaging companies modernizing workflows.
- Teams that need DICOM, viewer, dataset, model, or deployment expertise.
Not a fit if
- You only need a free tool for personal file viewing.
- You do not yet have a target user, workflow, dataset, or product goal.
- You need legal or regulatory approval without the technical validation work behind it.
What we can build
DICOM tag rules, UID remapping, date shifting, batch processing, PHI risk checks, audit logs, and pipeline integration.
- Workflow architecture and implementation plan.
- Medical imaging software development and integration.
- Testing with representative imaging data and operational edge cases.
- Documentation and handoff for your product, research, or engineering team.
How the engagement works
- Clarify the imaging workflow, users, data, systems, and success criteria.
- Define the technical architecture, risks, milestones, and delivery scope.
- Build iteratively, validate with representative cases, and prepare the system for real use.
Related PYCAD capabilities
- Custom DICOM viewer development
- Medical imaging data handling
- Medical imaging model training
- Medical AI model deployment
- Talk to PYCAD about your project
Ready to discuss a medical imaging project?
If you have a real medical imaging workflow, dataset, viewer, or AI product to build, share the context with PYCAD. We will help clarify the technical path, risks, and next execution steps.