Clinical Trial Imaging Platform

Centralize site uploads, automated DICOM deidentification, QC, blinded central review and audit-ready data management — purpose-built for multi-center, imagingheavy clinical trials.
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  • GCP
  • DICOM de-identification
  • HIPAA/GDPR/21CFRP.11
Advancing clinical trials with imaging
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How it works

How clinical trial imaging works on Collective Minds. From the first site upload to inspection-ready archive, every step of an imaging-heavy trial happens on one platform, with the audit trail to prove it.
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Collect

Send DICOM images from your Scanner or PACS, manually or via automation, directly to Connect, all within your secure hospital network.

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Pseudoanonimize and De-identify

Imaging data is processed locally and de-identified, anonymized, and/or pseudonymized using rules you control.

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Validate

Standardized QC checks flag artifacts, missing series, and protocol deviations in minutes; site can re-image before the participant leaves.

Research-Pipeline

Review

Assign cases to blinded readers, run BICR with adjudication path, and capture structured assessments inside built-in eCRFs.

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Track

Live trial dashboards show site progress, query rates, and reader status across all cohorts; sponsors and CROs have a single source of truth.

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Export and archive

Generate study exports for stats environments, EDC, and submissions packages, with full audit trails preserved for inspection. 

Core capabilities

Purpose-built tools for every part of the medical imaging workflow, from data ingestion and viewing to research operations, governance and compliance.
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Image intake & de-identification

  • DICOM ingest, routing, and PACS integration
  • Automated, configurable de-identification and pseudo-anonymization, research metadata preserved.
  • Modality-aware bulk transfer with resumable uploads.
  • Site upload templates and onboarding flows.

Workflow optimization

  • Configurable per-study pipelines: setup, protocols, QC checkpoints
  • Role permissions-based task list per user.
  • Custom eCRFs aligned to imaging endpoints.
  • Auto-accept /auto-reject QC rules.

Central review and adjudication

  • Grade Dicom viewer with MPR and structured annotations.
  • Blinded independent central review (BICR) workflows.
  • Reader assignment, query handling, and adjudication paths.
  • Multireader studies and inter-rater agreement tracking.

Compliance and data management

  • HIPAA / GDPR / 21 CFR Part 11 / ISO 27001 aligned by design.
  • Audit trails, time-stamped records, e-signatures.
  • RBAC, SSO, 2FA
  • Long-term archive with secure export to EDC, stats, and ML pipelines.

Trusted by leading healthcare institutions

British Institute of Radiology
Erasmus MC
European Society of Head and Neck Radiology
Karolinska Institutet
Region Skåne
Södersjukhuset
World Wide Radiology
Leiden University Medical Center
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

Integrations

Everything connects. Collective Minds  integrates with the tools, systems, and workflows your team already relies on, so you spend less time on setup and more time on what matters: advancing medical research.

PACS

PACS DICOM integration via CM-Connect — a secure edge gateway that pseudonymizes and encrypts imaging data on-premise before it leaves your firewall, routing it to our Data Stage for processing.

Xnat

Seamless interoperability with XNAT research PACS. Pull annotated datasets from Collective Minds Research to your XNAT archive for further processing or long-term storage. 

Single sign-on

Integrate with your hospital or university identity provider (IdP) using standard OIDC or SAML protocols for secure, single-sign-on access.

API

Automate the ingestion and orchestration of multimodal data. Perfect for high-volume clinical trials or core-lab setups. 

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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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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.

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