Public source
Reviewed 11 May 2026
Completeness Fair (28%)
Duali-Q
IMedisIMedis Duali-Q aims to optimize the QA process by performing automatic QA on every CT scan and accompanying report to uncover actionable failure points, helping to enhance radiology performance, reducing the risk to providers and improving outcomes for patients.
No papers to support — we monitor for new evidence.
Key features
Pancreatic lesions
Pulmonary nodules
Radiology report assessment of liver lesions
Thoracic and abdominal aorta dilation.
General Information
Product name
Company
Modality
Main task
Not specified
Subspeciality
Disease targeted
Regulatory Information
Pathway:
MDD
Class:
Class I
Not verified by Health AI Register
Other certifications
Not specified
Evidence & Research
No research papers or evidence on file yet.
The registry monitors publications for new evidence.
Technical Specifications
Patient population age
Not specified
Input
Not specified
Input format
Not specified
Output
Not specified
Output format
Not specified
Integration
Not specified
Deployment
Not specified
Trigger for analysis
Not specified
Processing time
Not specified
Population
Not specified
Market Presence
On market since
Not specified
AI Platforms
Resellers
Not specified
Countries present
Not specified
Paying clinical customers
Not specified
Research/test users
Not specified
Pricing Information
Pricing model
Not specified
Based on
Not specified
Source: Public | First published: Oct 25, 2022 | Last updated: May 11, 2026