TLDR: City St George’s, University of London, has officially launched its new Research Radiographer Group (CRRA3G), focusing on pioneering advancements in medical imaging and therapeutic radiography. The group, unveiled at a special event in early September and reported on October 13, 2025, emphasizes the integration of artificial intelligence (AI) and person-centred care to address emerging challenges and shape the future of the profession. CRRA3G aims to be a global leader in AI in radiography, developing expertise in AI-led innovation, governance, and clinical implementation, while also promoting multidisciplinary collaboration and a new global textbook on AI literacy for radiographers.
City St George’s, University of London, has announced the formation of its new Research Radiographer Group (CRRA3G), a significant initiative aimed at driving innovation in medical imaging and therapeutic radiography. The group’s launch, celebrated at a special event in early September and highlighted in news on October 13, 2025, brought together a diverse assembly of researchers, clinicians, industry leaders, policymakers, and students to discuss the future trajectory of radiography, with a strong emphasis on person-centred care and the strategic deployment of artificial intelligence (AI) in healthcare.
Professor Lucy Dipper, Associate Dean for Engagement, Enterprise and Employability in the School of Health & Medical Sciences at City St George’s, opened the event, underscoring the benefits of the newly integrated School and its role in fostering global engagement, employability, research, and education.
Dr. Christina Malamateniou, Director of CRRA3G and Associate Professor of Technology Enabled Care in Radiography, introduced the new group, articulating its core values of integrity, diversity, and resilience. Dr. Malamateniou emphasized the group’s commitment to multidisciplinary and multi-agency research, stating, “People are everything in CRRA3G as they make things happen, and we have a strong commitment to multidisciplinary, multi-agency research and to working collaboratively.”
CRRA3G has cultivated extensive expertise over recent years in areas such as AI, digital twinning, and novel technologies in medical imaging and oncology. The group also focuses on person-centred care, workforce development, leadership, and educational research. Dr. Malamateniou proudly noted, “We are world leaders on AI in radiography, including AI-led innovation, governance, clinical implementation, and the impact on professional identity and leadership models. A new global textbook for AI literacy for radiographers is also coming out later this year by our team and global network of collaborators.”
The launch event featured a session co-chaired by Dr. Malamateniou and Professor Susan Shelmerdine (GOSH), which delved into emerging technologies. Speakers included Mr. Nikos Stogiannos, who discussed AI governance and ethics; Mrs. Gemma Walsh, who explored leadership roles for radiographers in AI; Dr. Benard Ohene Botwe, who addressed the integration of AI into academic practice; and Mr. Julien Greggio, who presented on digital twinning in MRI settings. These discussions highlighted both the transformative potential and the inherent responsibilities associated with leveraging AI in healthcare.
The establishment of CRRA3G aligns with the University’s dedication to advancing radiography through research, innovation, and collaboration. The group’s mission is to inform, educate, and promote supportive and inclusive care experiences within radiography for individuals, families, communities, and practitioners. Its research priorities include person and patient-centred care for diverse patient groups, AI and novel technology governance, education and implementation, clinical education, patient safety, and workforce development.
This initiative also resonates with the broader strategy of the Society of Radiographers (SoR), which, in its three-year strategic framework launched in April 2025, pledged for radiographers to lead the way in harnessing AI to design patient-centred services and enhance efficiency and accuracy in diagnosis. Richard Evans, CEO of the SoR, stated that AI is already capable of extracting more information from X-ray images, leading to earlier diagnoses and potentially identifying the need for further interventions during examinations.
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The CRRA3G’s work is poised to significantly contribute to these goals, ensuring that radiography professionals remain at the forefront of healthcare research and practice, driving innovation, and improving patient outcomes.
