Focused pre-read
High suspicion, Possible and Low suspicion bands organise the supported findings for image review.
MRI12 supported findings
A focused knee MRI pre-read. A clearer place to start.
Review suspicion bands for 12 supported findings, jump to key slices and prepare an editable report draft with the radiologist in control.
AI-assisted outputs for review by a qualified clinician.
RadEze · Knee MRI
Input
Non-contrast knee MRI with a sagittal series. Coronal images are needed for MCL and tibiofemoral compartment assessment.
Output
AI suspicion panel, up to two key-slice references per flagged finding and an editable report draft.
Coverage
12 findings, with explicit assessment limits
Inside the workflow
Clear outputs.
Reviewable decisions.
Key-slice navigation
Open the linked image for a flagged finding directly from the viewer panel.
Draft with review
Use the pre-read to support a structured draft; verify the images and edit before finalisation.
Supported scope
What this module brings to review.
| Finding or measurement | AI-assisted output |
|---|---|
| Anterior cruciate ligament | Complete-tear suspicion only; partial tears and sprains are not scored |
| Medial collateral ligament | Injury suspicion |
| Medial meniscus | Tear suspicion |
| Lateral meniscus | Tear suspicion |
| Medial tibiofemoral compartment | Degenerative cartilage-change suspicion |
| Lateral tibiofemoral compartment | Degenerative cartilage-change suspicion |
| Patellofemoral compartment | Degenerative cartilage-change suspicion |
| Joint effusion | Moderate-or-larger effusion suspicion |
| Synovitis | Presence suspicion |
| Baker’s cyst | Presence suspicion |
| Bone contusion | Presence suspicion |
| Fracture | Presence suspicion; no location or age determination |
How it fits
AI beside the clinician.
Review at every step.
Start with the supported study
Confirm the modality, views and sequences required by the selected module.
Check the AI output in context
Review the proposed findings or measurements against the source images. Correct and complete the assessment.
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 ↗
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