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Rainey, C., McLaughlin, L., England, A. , Malamateniou, C. ORCID: 0000-0002-2352-8575, McFadden, S. L. & Woznitza, N.view all authors (2026). Generative AI and large language models in radiography education: Possibilities, obstacles, and expectations for academic staff. Journal of Medical Imaging and Radiation Sciences, 57(4), article number 102435. doi: 10.1016/j.jmir.2026.102435

Stavropoulou, C. ORCID: 0000-0003-4307-1848, Scarbrough, H., Rawlinson, J. , Cui, M., Baldwin, D. & Woznitza, N.view all authors (2026). Implementing AI innovation in radiology departments in the English NHS: a qualitative study on the experiences of professionals, patient groups and innovators. Frontiers in Digital Health, 8, article number 1736911. doi: 10.3389/fdgth.2026.1736911

van de Venter, R., Skelton, E. ORCID: 0000-0003-0132-7948, Matthew, J. , Woznitza, N., Tarroni, G. ORCID: 0000-0002-0341-6138, Hirani, S. P. ORCID: 0000-0002-1577-8806, Kumar, A., Malik, R. & Malamateniou, C. ORCID: 0000-0002-2352-8575view all authors (2023). Artificial intelligence education for radiographers, an evaluation of a UK postgraduate educational intervention using participatory action research: a pilot study. Insights Imaging, 14(1), article number 25. doi: 10.1186/s13244-023-01372-2

Rainey, C., O'Regan, T., Matthew, J. , Skelton, E. ORCID: 0000-0003-0132-7948, Woznitza, N., Chu, K-Y., Goodman, S., McConnell, J., Hughes, C., Bond, R., Malamateniou, C. ORCID: 0000-0002-2352-8575 & McFadden, S.view all authors (2022). UK reporting radiographers' perceptions of AI in radiographic image interpretation - Current perspectives and future developments. Radiography, 28(4), pp. 881-888. doi: 10.1016/j.radi.2022.06.006

Rainey, C., O'Regan, T., Matthew, J. , Skelton, E. ORCID: 0000-0003-0132-7948, Woznitza, N., Chu, K-Y., Goodman, S., McConnell, J., Hughes, C., Bond, R., Malamateniou, C. ORCID: 0000-0002-2352-8575 & McFadden, S.view all authors (2022). An insight into the current perceptions of UK radiographers on the future impact of AI on the profession: A cross-sectional survey. Journal of Medical Imaging and Radiation Sciences, 53(3), pp. 347-361. doi: 10.1016/j.jmir.2022.05.010

Rainey, C., O'Regan, T., Matthew, J. , Skelton, E. ORCID: 0000-0003-0132-7948, Woznitza, N., Chu, K-Y., Goodman, S., McConnell, J., Hughes, C., Bond, R., McFadden, S. & Malamateniou, C. ORCID: 0000-0002-2352-8575view all authors (2021). Beauty Is in the AI of the Beholder: Are We Ready for the Clinical Integration of Artificial Intelligence in Radiography? An Exploratory Analysis of Perceived AI Knowledge, Skills, Confidence, and Education Perspectives of UK Radiographers. Frontiers in Digital Health, 3, article number 739327. doi: 10.3389/fdgth.2021.739327

Malamateniou, C. ORCID: 0000-0002-2352-8575, McFadden, S., McQuinlan, Y. , England, A., Woznitza, N., Goldsworthy, S., Currie, C., Skelton, E. ORCID: 0000-0003-0132-7948, Chu, K-Y., Alware, N., Matthews, P., Hawkesford, R., Tucker, R., Town, W., Matthew, J., Kalinka, C. & O'Regan, T.view all authors (2021). Artificial Intelligence: Guidance for clinical imaging and therapeutic radiography professionals, a summary by the Society of Radiographers AI working group. Radiography, 27(4), pp. 1192-1202. doi: 10.1016/j.radi.2021.07.028

Malamateniou, C. ORCID: 0000-0002-2352-8575, Knapp, K. M., Pergola, M. , Woznitza, N. & Hardy, M.view all authors (2021). Artificial intelligence in radiography: Where are we now and what does the future hold?. Radiography, 27(S1), S58-S62. doi: 10.1016/j.radi.2021.07.015

Stogiannos, N. ORCID: 0000-0003-1378-6631, Fotopoulos, D., Woznitza, N. & Malamateniou, C. ORCID: 0000-0002-2352-8575view all authors (2020). COVID-19 in the radiology department: What radiographers need to know. Radiography (Lond), 26(3), pp. 254-263. doi: 10.1016/j.radi.2020.05.012