For NHS teams, training programmes and imaging software partners
The clinical AI assistant for radiology teams.
UKCA Class I medical deviceNHS pilot in Newcastle
See it in practice.
Start with an imaging question
What you can do with MyRadAssistant
- Ask: cited answers from licensed UK guidance and peer-reviewed literature, with the strength of the evidence shown.
- Check: feedback on anonymised draft reports against RCR reporting standards; the author applies or dismisses each suggestion.
- Cowork: hand off a multi-step task, such as designing an audit or reading guidance on the NICE website, approving each step.
- Keep: what you look up is logged as CPD evidence for appraisal.
Who it's for.
Department licence
- Seats for the whole imaging team
- Usage and answer-quality reporting for governance
- Starts with a scoped pilot, measured against agreed outcomes
Programme licence
- For deaneries, universities and FRCR courses
- Cited answers and CPD capture for every trainee
- A view for educators of the questions being asked
Integrate
- Cited answers inside your RIS, PACS or reporting software
- Built with design partners, scoped with each one
- The same evidence base, governance and audit trail
Trusted where it matters.
Early users across NHS imaging teams, quoted with their permission.
“Genuinely excellent, far superior to ChatGPT or Google Gemini and even better than Navigating Radiology’s Knowledge Search… been keeping a tab with it open during every reporting session for the last week, it’s such a massive help.”
“During my reporting practice if I have wanted a quick answer for something I have found myself reaching for MyRadAssistant instead of [other radiology websites] or Copilot as I know it will bring up some academic sources too.”
“A paediatric patient was sent for a liver scan to check for haemangioma… I wasn’t sure of the guidelines, and MyRadAssistant showed the guidelines and all information I need for the scan. Saves time and also brain energy!”
“Differentiating MRI appearances of arachnoid and epidermoid cysts: gave a clear concise overview with some scrollable cases. Case Search is my main everyday use, to expose myself to different appearances of the same pathology.”
Where it is used and evaluated
NHS pilot at Newcastle upon Tyne HospitalsRadiology trainees use it day to day as Champion Users. Started September 2026.In use
ARROW programme, Durham UniversityAn evaluation framework, so answer quality is measured the same way before every wider rollout.Evaluation in development
Evidence Generator Bootcamp, DigitalHealth.LondonIncluding a NICE Evidence Standards Framework gap analysis.Completed 2026Governance and assurance
Available on request for pilots: information governance pack, DPIA support and clinical safety case.
The people behind it
Questions buyers ask.
More on images, embedding and pilot evaluation on the NHS Trusts page.
How is this different from a general AI chatbot?
Before answering, it searches a curated radiology evidence base and answers using only that retrieved text, with every sentence linked to its source and the strength of that source shown. If the evidence is not there, it says so rather than guessing.
What happens to the data our staff enter?
Queries are never used to train models. Staff should not enter identifiable patient information. An information governance pack and DPIA support are available for pilots.
What happens if an answer is wrong?
Every answer has a feedback button. Safety-relevant reports go to a monitored mailbox and are triaged within five working days; serious incidents are handled under the MHRA vigilance system.
What is its regulatory status?
The retrieval and answer function is a UKCA Class I medical device under UK MDR 2002, registered with the MHRA. Report critique is educational and sits outside the device classification.
Book a demo.
Thirty minutes with a radiologist on the founding team. We show it on your kind of questions and agree whether a pilot makes sense.
[email protected] · we reply within two working days.
- 01Agree the scope.Which teams, which questions, which outcomes.
- 02Clear governance.IG pack, DPIA support and clinical safety case.
- 03Measure it.Answer quality, usage and feedback, reported back to you.
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