Artificial intelligence (AI)
The RCR’s approach to AI...
Leading the profession through the AI transformation
Artificial intelligence is already reshaping clinical radiology and oncology. The RCR is here to make sure that transformation is safe, evidence-based, and led by clinicians — not driven by hype or commercial pressure.
We work to ensure every radiologist and oncologist has the knowledge, confidence and protection they need to use AI responsibly, while influencing the national policy environment to keep patient safety and professional accountability at its heart.
Our approach
AI offers significant potential to reduce backlogs, support clinical decision-making, and improve patient outcomes. But realising that potential requires clear standards, solid evidence, and a clinician-led approach to implementation.
Our AI Workstreams
Evidence & Influence
Education & Professional Development
Standards & Guidance
Engagement & Communication
AI Registry
Influencing Policy and Decision Makers
January 2026
July 2025
April 2025
April 2025
March 2025
January 2024
June 2023
RCR AI events and courses
2nd Annual Global AI Conference 2026
Explore the future of AI in healthcare at our Annual Global AI Conference, 29-30 June 2026. Open to all healthcare specialties, this two-day event offers expert-led discussions, practical insights, and discounted registration.
AI fundamentals for imaging and healthcare (Sept 2026)
Understand the AI tools shaping healthcare today, identify bias and model limitations that could affect patient care, and build the confidence to discuss AI applications, trends and governance.
AI in healthcare: Implementation, regulation and clinical best practice (Oct)
Aimed at health care professionals interested in deploying radiology AI tools, this workshop will revise the key components of AI implementation including regulation, preparation and actual deployment.
Read our AI-related guidance publications
AI Registry
RCR AI registry
- Find out which AI tools are currently being used in radiology and oncology departments across the UK
A resource for procurement decision-making and shared learning
AI Advisory Committees
These committees provide advice and guidance to the RCR on AI matters
Clinical Oncology Artificial Intelligence Advisory Committee
Find out moreClinical Radiology Artificial Intelligence Advisory Committee
Find out moreFurther resources
Audit templates
Audit templates providing a framework for monitoring AI tools. These are available in AuditLive and Audit Library.
Radiology events and Learning (REAL)
A library of radiology case studies and interactive resources is available to aid clinician learning from events and ambiguous cases.
Our journals
We are advancing research in imaging AI to shape its potential and ethical implementation, find out how in our clinical oncology and clinical radiology journals.
Workshops on facilitating the use of routine data to evaluate AI solutions
In 2023 and 2024 we hosted AI-focused workshops run jointly with the National Institute for Health and Care Research. Recordings of many of these presentations can be seen here.