RadEze imaging AI

AI assistance.
Clinical review.
One connected workflow.

Explore focused MRI and X-ray tools that bring image references, reviewable findings and structured outputs into your radiology workflow.

For radiology teams, imaging centres and clinical organisations.

RadEze · Lumbar MRI
Lumbar MRI review example with filled segmentation masks and T12/L2 compression-fracture entries in the review panel.Select image to enlarge ↗
Five focused productsSource-image reviewStructured report workflowsClinician-led finalisation

Choose your workflow

The right tool.
The supported scope.

Each product has its own inputs, outputs and review requirements. Explore the module that matches your studies.

MRILevel-by-level review

MRI Lumbar Spine AI

Review AI-assisted disc, stenosis and alignment findings alongside the source study, then edit the structured report draft.

Explore Lumbar MRI →
MRI12 supported findings

MRI Knee AI

Review suspicion bands for 12 supported findings, jump to key slices and prepare an editable report draft with the radiologist in control.

Explore Knee MRI →
X-rayMotion and alignment

Lumbar X-ray AI

Review AI-proposed landmarks and level-by-level measurements across supported lumbar views, then check the structured output before issuing a report.

Explore Lumbar X-ray →
X-rayCervical motion review

Cervical X-ray AI

Use AI-assisted landmark proposals and structured cervical measurements to support clinician-led review of the appropriate X-ray views.

Explore Cervical X-ray →
X-rayCombined spine assessment

Thoracolumbar X-ray AI

Review thoracolumbar alignment, vertebral heights and segmental measurements with their visual references, then confirm the level labels and final report.

Explore Thoracolumbar X-ray →
More in the pipeline

Have another imaging workflow in mind?

Tell us what your team needs. We’ll discuss the current scope and upcoming product directions.

Discuss your requirements →

How it fits

AI beside the clinician.
Review at every step.

01 / SOURCE IMAGES

Start with the supported study

Confirm the modality, views and sequences required by the selected module.

02 / CLINICIAN REVIEW

Check the AI output in context

Review the proposed findings or measurements against the source images. Correct and complete the assessment.

03 / STRUCTURED OUTPUT

Review, edit and finalise

Use the draft report as a starting point. The qualified clinician retains responsibility for the final interpretation.

RadEze AI supports qualified clinical review. AI proposals, measurements and report drafts require image verification and clinical correlation before use.

Common questions

Know what you’re evaluating.

Does the AI replace a radiologist?

No. The AI organises supported findings or measurements and prepares draft outputs. A qualified clinician checks the images, edits as needed and finalises the report.

What is the difference between RadEze AI and RadRep?

RadEze AI works with medical images and their supported analysis workflows. RadRep focuses on turning dictated findings into structured report drafts.

Can we use this with our existing workflow?

Show our team your PACS, reporting process and supported study types. We’ll confirm the appropriate deployment and integration options for your setting.

How do we arrange a demo or discuss pricing?

Use the enquiry form below or email sales@ezewok.com. The team will confirm the module scope, availability and commercial details for your organisation and country.

See the workflow

Let’s find the right fit for your team.

Tell us what you review and how your team works. We’ll follow up about the relevant product demonstration.

  • Explore the supported views and outputs
  • See the image-review and report workflow
  • Discuss onboarding, availability and pricing

Prefer email?
sales@ezewok.com ↗

For business enquiries. Please do not send patient images, reports or personal medical information through this form.