Member benefits
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.
January 2026
July 2025
April 2025
April 2025
March 2025
January 2024
June 2023
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.
We are thrilled to announce the return of our AI blended learning programme designed to equip radiologists and allied healthcare professionals at all levels of experience, with a global overview of Artificial Intelligence (AI) in radiology and what it means for the speciality.
Aimed at health care professionals interested in deploying radiology AI tools into clinical practice, this workshop will revise the key components of AI implementation including both preparation and actual deployment.
This guidance was developed by an expert panel, including Clinical Oncologists and Clinical Radiologists and incorporates feedback following a public consultation.
This guidance has been developed to aid all healthcare professionals involved in the use of auto-contouring systems for radiotherapy treatment and explains the different stages of selection, implementation and ongoing monitoring of an auto-contouring system to support the safe clinical use of this new technology.
This guidance aims to provide minimum standards for providers to deploy artificial intelligence (AI) solutions in radiology and focuses on the period between the algorithm achieving regulatory approval and its business-as-usual deployment.
This guidance sets out the standards that a department should meet when integrating AI into already established systems, producing a safe seamless system with the patients at the centre.
A resource for procurement decision-making and shared learning
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 moreAudit templates providing a framework for monitoring AI tools. These are available in AuditLive and Audit Library.
A library of radiology case studies and interactive resources is available to aid clinician learning from events and ambiguous cases.
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.
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.