Prof. Christina Malamateniou

University of London, UK

Associate Professor

Email: [email protected]

Qualifications

2007 Ph.D., Faculty of Medicine, Imperial College London, Perinatal MRI, UK

2002 B.Sc., Department of Medical Imaging Technology, Technological Educational Institute of Athens, Athens

Publications (Selected)

1. Stogiannos, N., Georgiadou, E., Rarri, N., & Malamateniou, C. (2025). Ethical AI: A qualitative study exploring ethical challenges and solutions on the use of AI in medical imaging. European Journal of Radiology Artificial Intelligence, 100006.
2. Stogiannos, N., O'Regan, T., Scurr, E., Litosseliti, L., Pogose, M., Harvey, H., ... & Malamateniou, C. (2025). Lessons on AI implementation from senior clinical practitioners: An exploratory qualitative study in medical imaging and radiotherapy in the UK. Journal of Medical Imaging and Radiation Sciences, 56(1), 101797.
3. Stogiannos, N., Skelton, E., Kumar, S., Ahmed, S., Amedu, C., Vince, C., ... & Malamateniou, C. (2025). Evaluation of a customised, AI-focused educational seminar delivered to final year undergraduate radiography students in the UK: A cross-sectional study. Radiography, 31(3), 102926.
4. Stogiannos, N., Walsh, G., Ohene-Botwe, B., McHugh, K., Potts, B., Tam, W., ... & Malamateniou, C. (2025). R-AI-diographers: a European survey on perceived impact of AI on professional identity, careers, and radiographers’ roles. Insights into imaging, 16(1), 43.
5. Matthew, J., Uus, A., Egloff Collado, A., Luis, A., Arulkumaran, S., Fukami-Gartner, A., ... & Rutherford, M. A. (2024). Automated craniofacial biometry with 3D T2w fetal MRI. PLOS digital health, 3(12), e0000663.
6. Malamateniou, C., O'Regan, T., McFadden, S. L., & Jackson, M. (2024). Artificial intelligence (AI) in radiography practice, research and education: A review of contemporary developments and predictions for the future. Radiography, 30, 56-59.
7. Stogiannos, N., Gillan, C., Precht, H., Sá Dos Reis, C., Kumar, A., O'Regan, T., ... & Malamateniou, C. (2024). A multidisciplinary team and multiagency approach for AI implementation: a commentary for medical imaging and radiotherapy key stakeholders. Journal of medical imaging and radiation sciences, 55(4), 101717.
8. Stogiannos, N., Jennings, M., St George, C., Culbertson, J., Salehi, H., Furterer, S., ... & Malamateniou, C. (2024). The American Society of Radiologic Technologists (ASRT) AI educator survey: A cross-sectional study to explore knowledge, experience, and use of AI within education. Journal of Medical Imaging and Radiation Sciences, 55(4), 101449.
9. Pedersen, M. R. V., Kusk, M. W., Lysdahlgaard, S., Mork-Knudsen, H., Malamateniou, C., & Jensen, J. (2024). A Nordic survey on artificial intelligence in the radiography profession–Is the profession ready for a culture change?. Radiography, 30(4), 1106-1115.
10. Stogiannos, N., Litosseliti, L., O'Regan, T., Scurr, E., Barnes, A., Kumar, A., ... & Malamateniou, C. (2024). Black box no more: a cross-sectional multi-disciplinary survey for exploring governance and guiding adoption of AI in medical imaging and radiotherapy in the UK. International Journal of Medical Informatics, 186, 105423.
11. Pedersen, M. R. V., Kusk, M. W., Lysdahlgaard, S., Mork-Knudsen, H., Malamateniou, C., & Jensen, J. (2024). Nordic radiographers’ and students’ perspectives on artificial intelligence–A cross-sectional online survey. Radiography, 30(3), 776-783.
12. Stogiannos, N., O'Regan, T., Scurr, E., Litosseliti, L., Pogose, M., Harvey, H., ... & Malamateniou, C. (2024). AI implementation in the UK landscape: knowledge of AI governance, perceived challenges and opportunities, and ways forward for radiographers. Radiography, 30(2), 612-621.
13. Matthew, J., Uus, A., De Souza, L., Wright, R., Fukami-Gartner, A., Priego, G., ... & Rutherford, M. A. (2024). Craniofacial phenotyping with fetal MRI: a feasibility study of 3D visualisation, segmentation, surface-rendered and physical models. BMC medical imaging, 24(1), 52.
14. Skelton, E., Webb, R., Malamateniou, C., Rutherford, M., & Ayers, S. (2024). The impact of antenatal imaging on parent experience and prenatal attachment: a systematic review. Journal of reproductive and infant psychology, 42(1), 22-44.
15. Stogiannos, N., Malik, R., Kumar, A., Barnes, A., Pogose, M., Harvey, H., ... & Malamateniou, C. (2023). Black box no more: a scoping review of AI governance frameworks to guide procurement and adoption of AI in medical imaging and radiotherapy in the UK. The British Journal of Radiology, 96(1152), 20221157.
16. Walsh, G., Stogiannos, N., Van de Venter, R., Rainey, C., Tam, W., McFadden, S., ... & Malamateniou, C. (2023). Responsible AI practice and AI education are central to AI implementation: a rapid review for all medical imaging professionals in Europe. BJR| open, 5(1), 20230033.
17. Akudjedu, T. N., Torre, S., Khine, R., Katsifarakis, D., Newman, D., & Malamateniou, C. (2023). Knowledge, perceptions, and expectations of Artificial intelligence in radiography practice: A global radiography workforce survey. Journal of Medical Imaging and Radiation Sciences, 54(1), 104-116.
18. Skelton, E., Harrison, G., Rutherford, M., Ayers, S., & Malamateniou, C. (2023). UK obstetric sonographers’ experiences of the COVID-19 pandemic: Burnout, role satisfaction and impact on clinical practice. Ultrasound, 31(1), 12-22.

Profile Details

https://www.city.ac.uk/about/people/academics/christina-malamateniou

https://www.linkedin.com/in/dr-christina-malamateniou-reader-associate-professor-83196a2/

https://www.researchgate.net/profile/Christina-Malamateniou

https://scholar.google.com/citations?user=aTeh6esAAAAJ&hl=en&oi=ao