“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 AIM Tool evaluates the ongoing performance of diagnostic AI, 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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RAIQC AIM supports RCR guidance on AI Monitoring and Reporting for Radiology and Oncology Departments
12 March 2026
The Royal College of Radiologists (RCR) has published new guidance on post-deployment monitoring and safety reporting of AI medical imaging devices in clinical practice. The document sets out practical steps that clinical teams should take to ensure AI tools continue to perform reliably after deployment — and includes sobering case studies of what can happen when …
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Radiographers and Nasogastric Tube Placement: RAIQC Supports International Accuracy Study
02 December 2025
Misplaced nasogastric tubes (NGTs) remain a significant patient safety concern, with pulmonary misplacement classified as a “Never Event” by NHS England. Although chest radiographs (CXRs) are widely used to confirm NGT position when pH aspirate testing is inconclusive, interpretation errors continue to occur across healthcare systems.
A new study published in Radiography (doi.org/10.1016/j.radi.2024.10.022) …
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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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