PMS Imaging Standard™
The Gold Standard for Medical Imaging Datasets
A comprehensive framework that ensures every medical imaging dataset is clinically validated, fully traceable, bias-aware, and compliance-ready.
The Challenge
Medical Imaging AI Has a Data Problem
Most medical imaging datasets used for AI training lack standardized validation, traceability, and regulatory alignment.
This creates compounding risk: models trained on unverified data face regulatory rejection, bias issues, and clinical safety concerns. The cost of poor data isn't just technical — it's measured in delayed treatments, failed submissions, and eroded trust.
Framework
Four Pillars of Certification
Every dataset certified under the PMS Imaging Standard meets rigorous requirements across four critical dimensions.
Clinical Validation
Every annotation reviewed and signed off by board-certified radiologists. No automated-only labels.
Full Traceability
Complete data provenance from source through every transformation. Every change logged, every origin verified.
Bias Awareness
Systematic demographic and acquisition protocol diversity checks to identify and document representation gaps.
Regulatory Compliance
Aligned with FDA and CE Mark requirements for AI/ML medical devices. Audit-ready documentation included.
Process
How It Works
From raw DICOM data to certified, ML-ready export — a rigorous five-stage pipeline.
Validation Engine
What the Validator Checks
Our validation engine runs comprehensive checks across six critical dimensions to ensure dataset integrity.
Metadata Completeness
All required DICOM tags present and correctly formatted
Annotation Consistency
Label formats, coordinate systems, and terminology aligned
Demographic Representation
Statistical checks for age, sex, and ethnicity distribution
DICOM Tag Integrity
Tag values validated against VR definitions and standards
De-identification Verification
PHI removal confirmed across all headers and pixel data
Provenance Chain Completeness
Full audit trail from original source through all transformations
Compatibility
Integration & Export
Datasets certified under the PMS Imaging Standard export directly into your preferred ML framework.
NVIDIA's open-source framework for healthcare AI
Self-configuring segmentation framework
Datasets library for ML research
Comparison
Certified vs. Typical Datasets
| Dimension | PMS Certified | Typical Dataset |
|---|---|---|
| Clinical Validation | ✓ Radiologist-verified | ✗ Automated or unverified |
| Traceability | ✓ Full provenance chain | ✗ Partial or missing |
| Bias Assessment | ✓ Systematic diversity checks | ✗ Rarely documented |
| Regulatory Alignment | ✓ FDA/CE ready | ✗ Not addressed |
| Export Compatibility | ✓ MONAI, nnU-Net, HF | ~ Variable formats |
| Annotation Consistency | ✓ Standardized schema | ✗ Inconsistent labeling |
Start Building with Certified Data
Request a sample dataset certified under the PMS Imaging Standard
Request Sample Dataset