A Product of Clearflow Systems

Federated medical imaging at the global scale

FedScan connects hospitals, community health centres, and rural clinics through a privacy-preserving federated learning network — enabling AI-assisted diagnosis without centralising patient data.

4,817

DICOM studies

10

Federation sites

1.000

AUC-ROC (round 20)

5

Expert tiers

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Restricted Access

The FedScan image viewer is available to authorised medical professionals and system administrators only. Please enter your access password to continue.

👨‍⚕️ Doctor 🔑 Administrator Clearflow Systems

Submit medical images

Upload DICOM studies to the FedScan GCP Healthcare API store for AI classification and expert review

Hospital / facility ID

Patient ID (anonymised)

Study date

Modality

Body region

Clinical indication

Scanner model

GCP target region

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Click to select DICOM files or drag and drop

.dcm files · DICOM Part 10 · Any modality

GCP STOW-RS endpoint

POST https://healthcare.googleapis.com/v1/projects/fedscan-prod-001/locations/{region}/datasets/fedscan-dataset/dicomStores/fedscan-dicom/dicomWeb/studies

TRANSFER PROTOCOL

DICOMweb STOW-RS

HTTPS · TLS 1.3 · 256-bit AES

ANONYMISATION

Auto de-identification

DICOM PS3.15 Profile E

AI INFERENCE

Automatic on ingest

FedAvg round 20 model

Expert registration

Join the FedScan network of radiologists and provide AI-assisted second opinions to health centres worldwide

First name

Last name

Email address

Phone (WhatsApp capable)

Country

City / Institution

Professional bio (optional)

Select your expert tier

T1

Resident / Junior

T2

Specialist Radiologist

T3

Consultant Radiologist

T4

Senior Radiologist

T5

Chief of Radiology

Medical licence number

Years of experience

Primary modality

Secondary modality

Certifications held

Weekly review capacity (studies)

Typical response time

Timezone

Preferred notification

Geographic focus (optional)

Privacy & data governance

I confirm that all patient images I review will be de-identified in accordance with DICOM PS3.15 Profile E and that my review activity may be used to improve the federated learning model.

Your account will be verified within 48 hours. You will receive login credentials and onboarding instructions at your registered email.

Hospital & facility portal

Register your facility as a FedScan client to access AI-assisted image classification and expert review services

Facility name

Facility type

Country

City / Region

Primary contact name

Contact email

Phone

Ministry of Health registration

Resident radiologist on site?

CT scanner make / model

Scanner age (years)

Estimated noise level (HU σ)

DICOM version

Internet connection

Monthly scan volume

Preferred GCP region

PACS system

Federated learning participation

Opt in to federated learning — contribute local gradient weight updates (not images) to improve the global model. Your patient data never leaves your facility. Use cloud inference — upload anonymised DICOM images to GCP for AI classification and expert review. Recommended for facilities without on-site radiologists.

Community

Free

Up to 20 studies/month
AI inference included
T1–T2 expert review
48h response time

Standard

$49/mo

Up to 100 studies/month
Priority AI inference
T1–T3 expert review
8h response time

Advanced

$149/mo

Unlimited studies
Instant AI inference
T1–T5 expert review
2h response time

Data governance agreement

I confirm this facility is authorised to submit patient images for remote analysis, that all DICOM files will be de-identified prior to upload, and that I accept the FedScan data processing agreement.

Your facility ID and GCP credentials will be emailed within 24 hours. Technical onboarding support is included with all plans.