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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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RAIQC and Answer Digital partner to advance AI in NHS diagnostics
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.
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RAIQC and Oxford University Hospitals to launch the 'Pulmonary Nodules on CT' training package
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.
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RAIQC supports evaluation of Lunit INSIGHT CXR AI tool for enhancing clinician chest X-ray interpretation
The team at RAIQC is pleased to have supported a recent study evaluating the effectiveness of the Lunit INSIGHT CXR AI tool in improving clinician accuracy for interpreting inpatient and emergency chest X-rays (CXRs). The study utilised RAIQC’s online capabilities to facilitate an efficient evaluation process, enabling remote participation from clinicians across specialties and experience levels.
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RAIQC used for the evaluation of GE Healthcare's AI tool for the detection of pneumothoraces
RAIQC’s team is pleased to be listed in a new scientific paper published in the Emergency Medicine Journal, part of the British Medical Journal authored by Professor Alex Novak at Oxford University Hospitals.
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RAIQC Ltd to lead a Nine-partner Consortium in Trustworthy AI Evaluation
RAIQC is pleased to announce our success in winning an award from UK Research & Innovation (UKRI) to help accelerate both the deployment and evaluation of medical imaging AI tools to healthcare providers including the NHS.
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RAIQC and the London School of Clinical Radiology launch the “Emergency Radiology” package
The London School of Clinical Radiology uses RAIQC to develop and deliver SPOCA - ST1 Pre On Call Assessment - providing high-quality, consistent training and assessment across London.
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RAIQC achieves ISO 27001:2022 Certification
RAIQC is excited to announce a significant milestone in our commitment to ensure data security and information management. We are pleased to have earned the prestigious ISO/IEC 27001:2022 certification.
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RAIQC wins UKRI funding to help deploy AI into the NHS
RAIQC is one of 42 successful organisations, announced recently by the Secretary of State for Science, Innovation and Technology, Chloe Smith, sharing a total of £2m funding for an initial scoping and feasibility study which will deliver this summer.