STEP 01
WHAT WE STANDARDIZE
Bring in the work
Review scans, escalate the ambiguous studies, and move forward with a study-ready packet.
→DOMAIN LABS · MEDICAL IMAGING · MEDICAL IMAGING LAB REVIEWS SCANS, SENDS AMBIGUOUS STUDIES TO RADIOLOGY SPECIALISTS, AND EXPORTS AN IMAGING PACKET WITH THE FULL REVIEW TRAIL.
Every scan. Every signature.
Bring scans, study context, and program rules into one workflow. The lab highlights uncertain outputs, routes them to specialists, and keeps the approval history attached to the study.
ACCEPTED FORMATS
DICOM / NIfTI / study metadata
Start with the files and records the team already uses.
DECISION OWNER
Radiology reviewer
Keep the right specialist or approver on the work that needs judgment.
OUTCOME
Imaging packet
Hand off one reviewed record instead of scattered notes.
HOW IT WORKS
Three steps. Scans in. Radiology review on edge cases. Study-ready packet out.
Bring in the work. Standardize the step. Hand off a clean result.
STEP 02
WHAT WE REVIEW
imaging teams need a clear path from model output to reviewer-trusted evidence.
Upload the scan set, inspect flagged cases, and export one imaging packet.
→STEP 03
WHAT WE SIGN
Leave with a clean result
Get one imaging packet with the decision, evidence, and status attached.
WHY IT EXISTS
The reason a medical imaging team buys the lab.
Use this when imaging teams need a clear path from model output to reviewer-trusted evidence.
THE PROBLEM
Use this when imaging teams need a clear path from model output to reviewer-trusted evidence.
THE REVIEW MOTION
Scans in. Radiology review on edge cases. Study-ready packet out.
THE OUTCOME
Study context, scan lineage, reviewer rationale, and approval status stay together.
WHY TEAMS BUY IT
Bring scans, study context, and program rules into one workflow. The lab highlights uncertain outputs, routes them to specialists, and keeps the approval history attached to the study.
FOCUS AREAS · THREE WINDOWS
The three places this lab does the work.
Scans in. Radiology review on edge cases. Study-ready packet out.
AREA · 01
Scan intake
Start with the real scan set and the rules that matter.
- ↳Bring in DICOM / NIfTI / study metadata without stripping away context.
- ↳Keep project constraints visible from the first step.
- ↳Give the team one clear place to start the review.
AREA · 02
Radiology review
Send the hard calls to the radiology reviewer.
- ↳Surface the cases that need human judgment.
- ↳Keep reviewer notes attached to the decision.
- ↳Make approvals, overrides, and escalations easy to explain later.
AREA · 03
Study release
Hand off a imaging packet the next team can trust.
- ↳Export lineage, notes, and approval status together.
- ↳Save repeat failures as checks for the next run.
- ↳Deliver one clean packet for the next team or gate.
WORKFLOW · THREE STAGES
The walkthrough your team runs.
Study context, scan lineage, reviewer rationale, and approval status stay together.
STAGE · 01
01
Bring in the scan set
Load the work, context, and rules into one record.
- ·Use DICOM / NIfTI / study metadata.
- ·Capture the project rules before review starts.
- ·Keep the original context attached.
STAGE · 02
02
Review what needs judgment
Score the work and send the decisions that need judgment to the radiology reviewer.
- ·Highlight what can move fast and what cannot.
- ·Record reviewer notes and final calls.
- ·Keep the audit trail readable.
STAGE · 03
03
Export the imaging packet
Package the approved result for the next team, approval gate, or audit request.
- ·Bundle the evidence with the decision.
- ·Save the same mistake as a future check.
- ·Hand off a packet someone else can inspect.
STARTS FROM
A model already suited to the workflow.
STARTER MODEL
MONAI + MedSAM
Starts with MONAI, MedSAM, and open imaging models already suited to scan review and radiology escalation.
Radiology reads, quality findings, and accepted or rejected studies strengthen the lab on your own imaging work.
AuraOne can help launch the first imaging workflow. Your radiology team remains the decision-maker on edge cases.
READING · MEDICAL IMAGING · LIVE
00·00 INTAKEUSE THIS WHEN IMAGING TEAMS NEED A CSIGN 04·18
REVIEWER · EVIDENCE · OUTPUT
The work and the people who sign for it.
Specialist reviewers, the evidence they keep, and the result the next team consumes.
REVIEWER TYPE
radiology reviewer
ENTRY MOTION
Scans in. Radiology review on edge cases. Study-ready packet out.
EVIDENCE PATTERN
Study context, scan lineage, reviewer rationale, and approval status stay together.
OUTPUT SUMMARY
Get one imaging packet with the decision, evidence, and status attached.
PAINFUL STEP
imaging teams need a clear path from model output to reviewer-trusted evidence.
WHAT YOU KEEP
Reviewed imaging data, study logic, and tuned weights your team can keep.
↳ WORKFLOW ARCHETYPES
scan intakeradiology reviewstudy releaseCONNECTED MODULES · INSIDE THE OS
What this lab plugs into.
The medical imaging lab does not run alone. Each captured decision feeds into the AuraOne modules that govern release, memory, and review — one record, one standard, one packet.
№ 01 · MODULE
AI Labs
№ 02 · MODULE
Workforce
№ 03 · MODULE
Control Center
№ 04 · MODULE
Compliance Monitoring
ON THE RECORD · A MEDICAL IMAGING PROGRAM
“The review used to be the bottleneck. Now it’s the part of the workflow that moves the fastest. The record travels with the work.”
WHAT YOU KEEP
Your work. Your data. Your AI.
WORKFLOW
Real cases
Files, batches, and cases your team already runs. Not a demo.
DATA
Your tenant
In your VPC. Your keys. Your retention policy.
WEIGHTS
Yours to keep
Reviewed imaging data, study logic, and tuned weights your team can keep.
RELATED LABS
Same loop. Different wavelength.
MEDICAL IMAGING
Bring the workflow you want to own.
We'll map the workflow. Pick the starting model. Standardize the step. Hand you the result.
↳ STARTS FROM
MONAI + MedSAM
↳ LEAVES WITH
Reviewed imaging data, study logic, and tuned weights your team can keep.