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Items where City Author is "Skelton, Emily"

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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

Skelton, E. ORCID: 0000-0003-0132-7948, Webb, R. ORCID: 0000-0002-8862-6491, Malamateniou, C. ORCID: 0000-0002-2352-8575 , Rutherford, M. & Ayers, S. ORCID: 0000-0002-6153-2460 (2022). The impact of antenatal imaging in pregnancy on parent experience and prenatal attachment: a systematic review. Journal of Reproductive and Infant Psychology, doi: 10.1080/02646838.2022.2088710

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, doi: 10.1016/j.jmir.2022.05.010

Skelton, E. ORCID: 0000-0003-0132-7948, Harrison, G. ORCID: 0000-0003-2795-8190, Rutherford, M. , Ayers, S. ORCID: 0000-0002-6153-2460 & Malamateniou, C. ORCID: 0000-0002-2352-8575 (2022). UK obstetric sonographers’ experiences of the COVID-19 pandemic: Burnout, role satisfaction and impact on clinical practice. Ultrasound, doi: 10.1177/1742271x221091716

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. (2021). Artificial Intelligence: Guidance for clinical imaging and therapeutic radiography professionals, a summary by the Society of Radiographers AI working group. Radiography, doi: 10.1016/j.radi.2021.07.028

Skelton, E. ORCID: 0000-0003-0132-7948, Matthew, J., Li, Y. , Khanal, B., Cerrolaza Martinez, J. J., Toussaint, N., Gupta, C., Knight, C., Kainz, B., Hajnal, J. V. & Rutherford, M. (2020). Towards automated extraction of 2D standard fetal head planes from 3D ultrasound acquisitions: A clinical evaluation and quality assessment comparison. Radiography, doi: 10.1016/j.radi.2020.11.006

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