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Meet IMedis Duali-Q

automated quality assurance for radiology.

IMedis Duali-Q optimizes the QA process by performing automatic and patent protected* 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.  

* US Patent 11,380,432

Why Duali-Q?

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AI automation

Our AI automatically analyzes radiology images to detect commonly-overlooked findings, such as pulmonary nodules and liver lesions, comparing image data with report text, then any discrepancies are automatically flagged.

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Impact Critical Healthcare Domains

High quality radiology has a tremendous positive impact on healthcare expenditure, by improving diagnosis, treatment planning and monitoring in chronic conditions.


Essential indications

Duali-Q identifies potentially life-threatening, yet frequently missed, findings. Current indications include liver lesions, pulmonary nodules, thoracic aorta dilation, pancreatic lesions, and abdominal aorta dilation.

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Empowering all Radiology Stakeholders

Duali-Q provides actionable reports to administrators, radiologists, and management to improve quality and help reduce liability.


Comprehensive Results for Superior QA

Duali-Q offers ongoing analytics for a bird-eye-view on the level of performance within a department to identify trends and  create initiatives for optimization.

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Automated QA without disrupting the radiology workflow

IMedis Duali-Q works independently of the radiology workflow and only produces notifications for missed findings for QA purposes, reducing ‘alert fatigue’ and protecting the smooth running of the radiology department.

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How it works:

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Image capture

The patient undergoes imaging according to the pre-decided protocol

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Radiology report created 

The radiologist examines the images and prepares their report. The report is sent to the requesting physician.

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Duali-Q AI assessment

Duali-Q automatically analyzes the images for commonly overlooked findings. It then compares the findings with those noted in the report to uncover errors of omission.  

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Team alerted

Only if Duali-Q finds a significant discrepancy between findings in the images and the information given in the report, the case is flagged within the Duali-Q platform for peer-review and peer-learning. 

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Life saving indications

Duali-Q screens for commonly overlooked indications that can have life-altering consequences if missed. For example, pulmonary nodules are common incidental findings, present in 8% to 51% of chest computed tomography (CT) scans. They are an early sign of lung cancer, with a prevalence of malignancy of 1.3% to 28% of cases with nodules between 6 and 10 mm in size. Failure to report these commonly overlooked findings prevents patients from receiving vital follow-up and can cost lives. 

Duali-Q assesses radiology reports for overlooked:

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Pulmonary Nodules

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Aorta Dilation

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Pancreatic Lesions

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Abdominal Aorta Dilation

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Flexible Pricing

Duali-Q is designed to adapt to the unique needs of each healthcare system. Our subscription based pricing model reflects this commitment. 


Deployment of Duali-Q is offered on a tiered investment system with healthcare systems paying according to the volume of their CT scans

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