Imaging data for AI

Real-world medical imaging,
ready for model development.

SafeBridge archives imaging for healthcare providers across multiple sites, and many of them take part in data sharing agreements. The result is a large, diverse, continuously growing pool of clinical DICOM studies that can be curated into de-identified cohorts for AI research, training and validation.

Request a cohort   Explore the data

What's available

Study counts by modality, then drill into a modality to see its distribution over time, body region and patient age. Select a modality below or click a bar.

Studies by modality

A study containing more than one modality is counted under each.

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Studies by year

Year the study was performed.

Studies by body region

Classified from the study description.

Patient age at time of study

Studies by age band, in years.

Longitudinal depth and labels

Many patients have several studies over time, which supports progression, prior-comparison and outcome modeling. Some studies also carry DICOM objects that can serve as labels or annotations.

Patients by number of studies

Across all modalities.

Studies with derived objects

Studies that include each object type.

    Modality by body region

    Study counts for every modality and body-region combination.

    How it works

    Tell us what you need and we'll size and assemble a cohort for you.

    Cohort definition

    Define inclusion criteria: modality, body region, study date range, patient age and more. We report feasible cohort sizes before anything is delivered.

    De-identification

    Studies are de-identified before release: patient identifiers are removed from DICOM headers, PHI burned into the pixel data is redacted, and data is only shared from providers whose data sharing agreements permit it.

    Native DICOM

    Full-fidelity, original-resolution DICOM, including multi-frame, volumetric and enhanced objects, straight from clinical PACS workflows rather than re-encoded exports.

    Diagnostic reports

    The radiologist's diagnostic report can be included with each study, de-identified, as DICOM (encapsulated PDF or Structured Report), PDF, or plain text, ready to use as labels.

    Multi-site, real-world

    Imaging from multiple independent providers and a wide mix of scanner vendors and protocols, which helps models generalize beyond a single institution.

    All figures are aggregate counts across participating providers, rounded, with small counts suppressed. They describe the available pool, not a specific deliverable dataset. Final cohort availability depends on the terms of each provider's agreement.

    Looking for imaging data?

    Tell us about your use case, the modalities and anatomy you need, and your target cohort size. We typically respond within 24 hours.

    contact@safebridge.io