Medical Imaging Platform

A secure medical imaging platform to organize, analyze, and collaborate on DICOM data — built for research and clinical-grade workflows.

  • HIPAA/GDPR
  • Clinical grade DICOM viewer
  • PACS integration
Advancing clinical trials with imaging

Highlights

Everything imaging teams need in one place — from secure ingestion to reproducible cohorts and cross-institution collaboration.

Cohort-building at scale
Filter studies, metadata, labels, and outcomes to create reproducible datasets.
Collaboration across institutions

Securely share studies, viewers and annotations with partners worldwide — no VPNs, no risky data exports.

DICOM-native viewer

A diagnostic-grade viewer with multi-planar reformatting, measurement tools and structured annotations, all browser-based.

Compliance

built-in HIPAA, GDPR and SOC 2-aligned by design, with audit trails, RBAC/SSO and configurable de-identification at every step.

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Use cases

From AI validation to multi-site trials, our medical imaging platform powers the projects shaping modern healthcare and radiology research.
Radiology AI development & validation

Curate balanced training and test sets, annotate with subspecialty experts, and benchmark model performance against ground-truth data — all in one platform.

Longitudinal disease progression studies
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Multi-site clinical trials imaging workflows
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Radiology AI development & validation
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Rare disease registries & shared cohorts
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How it works

A medical imaging platform that fits the way modern teams work — secure, structured and ready for collaboration in three steps.
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Ingest and organize imaging studies and metadata

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how-it-works-2

Curate cohorts and annotate with standardized protocols

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how-it-works-3

Analyze and share securecly with full traceability

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Platform capabilities

Purpose-built tools for every part of the medical imaging workflow — from data ingestion and viewing to research operations, governance and compliance.
Platform capabilities

Data ingestion & management

  • DICOM ingest & routing
  • Study/series organization
  • Metadata extraction & normalization

Viewer annotations

  • Advanced viewer tools
  • Structured labels
  • Annotation templates / protocols

Research ops

  • DICOM ingest & routing
  • Study/series organization
  • Metadata extraction & normalization

Governance and compliance

  • RBAC / SSO
  • Audit trails
  • De-identification options

Trusted by leading healthcare institutions

Prof. Jussi Hirvonen
🙷The system was very easy to use. Everything went really smoothly.🙷
Prof. Jussi Hirvonen
Tampere University Hospital
Dr. Anselm Schulz
🙷Easy, intuitive, and after just some minutes of training, the team was ready to go.🙷
Dr. Anselm Schulz
Oslo University Hospital
Dr. Vibeke Berg Løgager
🙷It's not complicated. It works fast. It's as easy to work as an ordinary workstation.🙷
Dr. Vibeke Berg Løgager
Herlev University Hospital

See it in action

Book a demo and see how Collective Minds' medical imaging platform helps you securely share imaging data, collaborate across institutions, and streamline research and clinical workflows.
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Frequently asked questions

A selection of the most frequently asked questions, targeted to those who are on the fence of signing up.
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What is a medical imaging platform and how is it different from a PACS?

A PACS is built for clinical reporting inside a single hospital. A medical imaging platform like Collective Minds is built to organize, share and analyze imaging across institutions and projects — adding cohort building, structured annotations, collaboration tools and audit trails that traditional PACS systems don't provide.

Is Collective Minds compliant with HIPAA and GDPR?

Yes. The platform is HIPAA- and GDPR-aligned, with role-based access control, SSO, full audit trails and configurable de-identification, so research and clinical teams can collaborate without compromising patient privacy.

 

Can I connect Collective Minds to my existing PACS and AI models?

Yes. Collective Minds supports DICOM ingestion and routing from existing PACS, plus APIs and integrations to plug in AI models, electronic data capture systems (such as REDCap) and analytics tools — so it fits your current stack rather than replacing it.