“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.
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.
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.
AI Monitoring
The RAIQC PMS Tool evaluates the ongoing performance of diagnostic AI tools, highlighting reporting discrepancies and ensuring they meet Trust expectations and AI Vendor claims.
"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."
Latest RAIQC News
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AI and Tracheal Tube Positioning: RAIQC Contributes to Key Evaluation Study
31 March 2025
Accurate tracheal tube placement is vital for patients requiring mechanical ventilation. Misplaced tubes can lead to severe complications, including hypoxia and respiratory failure. The AI algorithm, integrated within the GE Healthcare software, uses a chest radiograph to highlight the tracheal tube’s outline, indicate the carina's position, and measure the distance between the tube tip and carina. …
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RAIQC and Answer Digital partner to advance AI in NHS diagnostics
14 February 2025
We are delighted to announce our partnership with Answer Digital, a leader in digital transformation in healthcare. This collaboration marks a significant step towards accelerating the adoption of AI in the NHS, enhancing efficiency, and ultimately improving patient outcomes.
At RAIQC, our mission is to drive trust in AI and healthcare by ensuring that …
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RAIQC and Oxford University Hospitals to launch the 'Pulmonary Nodules on CT' training package
6 January 2025
RAIQC’s training platform has played a supportive role in helping Oxford University Hospitals (OUH) enhance their Lung Nodule service, which has been recognised for its safe, efficient, and patient-focused care. The Pulmonary Nodules on CT training package, developed on the RAIQC platform and funded by the Thames Valley Cancer Alliance (TVCA), has provided specialist nurses with …
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