Prepare the draft
Turn a study and draft report into a structured review item with sections, urgency labels, and evidence for the clinician to inspect.
Free early access · Clinician-led report QAA clearer report.
A clearer report.
A confident
next step.
Bring report text, potential issues and source evidence into one review workspace. Your clinicians keep the final say.
$0 subscription fee during early access. No credit card required.
THE CLINICAL WORKSPACE 01 / 06
Report → Review → Sign-offSynthetic demonstration
Evidence-linked QAClinician sign-offWorkspace reference knowledge3D anatomy context
ReviewClinical outputs stay behind review and sign-off gates.
QAReport consistency checks with source evidence.
RLSTenant isolation is designed into the database layer.
PilotBuilt for retrospective validation with design partners.
The clinical problem
Give every draft a structured review before sign-off.
A report can contain conflicting sides, missing comparison context or inconsistent findings and impressions. Med-AI brings potential issues and their source evidence into the clinician’s review workflow.
See the report and the evidence together.
Review draft sections, inspect potential laterality conflicts and comparison gaps, then decide what to correct before signing.
Learn from clinician feedback.
Rate useful alerts and record report edits. Use those observations to evaluate your team’s experience rather than assume that every suggestion helps.
Keep review actions attributable.
Audit trails, clinician attribution, critical result workflows, consent models, and FHIR-oriented export are already part of the product architecture.
Product story
From draft to reviewed report.
Review report sections, check evidence-linked alerts and record a clinician’s decision. Explore the workflow with synthetic cases before requesting a team workspace.
Review the risks
Surface laterality conflicts, missing prior comparisons, critical result acknowledgements, and report quality issues before final release.
Sign and learn
Capture accept, edit, or reject decisions as quality data for model evaluation, clinician governance, and future rollout planning.
Workflow examples
Built around the review in front of you.
The screenshots below illustrate the application using synthetic demo data. They show representative workflow states. Any sample metrics are illustrative, not measured customer outcomes.
Primary screen
Clinical Workspace
Review the draft and QA evidence side by side. Open mapped findings in the 3D Atlas to locate reference anatomy, then return to the report.
- Built for radiologists, quality reviewers and clinical leads.
- Clinician review and sign-off remain essential.
Before you begin
Clear answers. Something useful to try.
See a report correction
Follow a synthetic report from conflicting statements to an illustrative revision.
Explore the demo →See where Med-AI fits
Understand its role alongside reporting software, PACS and other AI tools.
Compare workflow roles →Get practical answers
Read about free access, integrations, data handling and the limits of report QA.
Read the FAQs →
Honest readiness
Explore the product. Evaluate the evidence.
Inspect the demo, workflow screens and data-handling details. Early access is for supervised evaluation; customer outcomes and independent certifications are not claimed.
Built and visible today
Worklist, clinical workspace, QA analytics, audit posture, tenant isolation, and review status are visible and explainable.
Measure with your team
Evaluate alert usefulness, editing activity and elapsed reporting time using recorded workspace events. Publish outcomes only after measurement and review.
Scope your deployment
Confirm identity requirements, provider agreements, data handling and system integrations before planning a hospital deployment.
Your next step costs $0.
Try a synthetic case now, or request free early access for your team. We’ll confirm your workflow, usage capacity and onboarding scope with you.