“A Flight Simulator for Medical Image Interpretation”

RAIQC is a web-based platform used by radiologists, medical students and educators, healthcare providers, and AI vendors to access and report on diagnostic quality medical images in a secure environment.

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Education

Using real-world cases curated by world-renowned experts, RAIQC’s educational curriculum is set up to to teach and assess image reporting skills across a wide range of pathologies and procedures.

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Research & validation

Researchers, academics, and AI developers can make use of the RAIQC platform to run image-based studies or generate clinical evidence for UK, FDA and EMA regulatory approval.

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AI Monitoring

The RAIQC AIM Tool evaluates the ongoing performance of diagnostic AI, highlighting reporting discrepancies and ensuring they meet Trust expectations and AI Vendor claims.

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"RAIQC’s ability to display DICOM images and real-world scans in a web browser played an important role in how training was delivered, enabling us to reach more trainees faster than before."

Dr Jane Young
Former Head of the London School of Clinical Radiology

Latest RAIQC News

  • RAIQC AIM supports RCR guidance on AI Monitoring and Reporting for Radiology and Oncology Departments

    The RCR suggests that post-deployment monitoring is the "MOT check for your AI tools." Just because a tool worked when it was first deployed does not mean it is still performing today. RAIQC AIM gives departments the means to check continuously and at scale.
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  • Radiographers and Nasogastric Tube Placement: RAIQC Supports International Accuracy Study

    A new study published in Radiography has, for the first time, examined how diagnostic radiographers without formal CXR reporting qualifications perform in this safety-critical task. Conducted using the RAIQC clinical simulation platform, the study recruited 68 radiographers from international conferences in Europe and the UK, each of whom reviewed 15 chest radiographs featuring NGTs placed in the stomach, oesophagus, or lung.
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  • AI and Tracheal Tube Positioning: RAIQC Contributes to Key Evaluation Study

    RAIQC played a central role in facilitating this study by providing the platform for expert image review, supporting data organisation, and assisting in analysis. By enabling structured evaluations of AI tools, RAIQC continues to support research that informs the integration of AI into medical imaging.
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