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Items where Author is "Rainey, C."

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Article

Rainey, C., McLaughlin, L., England, A. , Malamateniou, C. ORCID: 0000-0002-2352-8575, McFadden, S. L. & Woznitza, N. (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

Walsh, G., Stogiannos, N. ORCID: 0000-0003-1378-6631, van de Venter, R. , Rainey, C., Tam, W. ORCID: 0000-0002-6241-4810, McFadden, S., McNulty, J. P., Mekis, N., Lewis, S., O'Regan, T., Kumar, A., Huisman, M., Bisdas, S., Kotter, E., Pinto dos Santos, D., Sá dos Reis, C., van Ooijen, P., Brady, A. P. & Malamateniou, C. ORCID: 0000-0002-2352-8575 (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), article number 20230033. doi: 10.1259/bjro.20230033

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. (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. (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: 0000-0002-2352-8575 (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

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