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 this monitoring is absent.
The timing is significant. AI deployments across radiology departments are accelerating, and the regulatory landscape is catching up. The 2024 IR(ME)R regulations now require departments using medical imaging platforms employing ionising radiation to maintain a registry of any software that assists in image interpretation. The RCR guidance goes further, recommending that departments designate a responsible individual for post-deployment surveillance, establish regular reporting to the clinical director, and engage AI suppliers on their post-market surveillance obligations.
The challenge, however, is practical. A busy radiology department can generate upwards of 16,000 reports a month. Manually extracting findings from each of these and comparing them against AI outputs to generate concordance statistics is simply not feasible at scale.
This is the problem RAIQC AIM was built to solve. Developed in collaboration with three NHS trusts and AI industry partners, RAIQC AIM automatically scans radiology reports for clinical findings and aligns them with AI outputs — providing automated weekly or monthly trend reports without requiring manual audits. Clinical teams can drill down by finding type, patient subgroup (age, sex, ethnicity), and imaging equipment (model, serial number) to identify concordance or emerging discordance patterns over time.
RAIQC's tool suite also addresses the IR(ME)R requirement to track AI tool deployment across a department, and includes staff training and certification modules to support safe clinical use — another key recommendation in the RCR guidance.
As the RCR puts it, 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.
For more information about RAIQC AIM or how to implement post-deployment surveillance in your department, please contact info@raiqc.com.
RAIQC is a web-based platform that simulates day-to-day practice, allowing healthcare professionals, students and educators to review and report on diagnostic quality medical images in a secure online environment. Using over 6000 real-world clinical cases, RAIQC offers structured reporting study lists for training and assessment for individuals and healthcare providers across a range of imaging modalities and disease areas. The platform also provides hosting for clinical research and AI validation studies that require review of medical imaging.
For more information visit www.raiqc.com or email info@raiqc.com.
RAIQC Ltd is registered in England and Wales with company number 09863569 and its registered address at 1 & 3 Kings Meadow, Osney Mead, Oxford, OX2 0DP.