1. Stogiannos N, O'Regan T, Scurr E, Litosseliti L, Pogose M, Harvey H, Kumar A, Malik R, Barnes A, McEntee MF, Malamateniou C. AI implementation in the UK landscape: Knowledge of AI governance, perceived challenges and opportunities, and ways forward for radiographers. Radiography (Lond) 2024;30(2):612-621. https://doi.org/10.1016/j.radi.2024.01.019
2. Mello-Thoms C, Mello CAB. Clinical applications of artificial intelligence in radiology. Br J Radiol 2023;96(1150):20221031. https://doi.org/10.1259/bjr.20221031
3. van Leeuwen KG, de Rooij M, Schalekamp S, van Ginneken B, Rutten MJCM. How does artificial intelligence in radiology improve efficiency and health outcomes? Pediatr Radiol 2022;52(11):2087-2093. https://doi.org/10.1007/s00247-021-05114-8
4. Stogiannos N, Litosseliti L, O'Regan T, Scurr E, Barnes A, Kumar A, Malik R, Pogose M, Harvey H, McEntee MF, Malamateniou C. 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. Int J Med Inform 2024;186:105423. https://doi.org/10.1016/j.ijmedinf.2024.105423
5. Odle T. The AI Era: The Role of Medical Imaging and Radiation Therapy Professionals. Radiol Technol 2020;91(4):391-400.
6. Stogiannos N, Jennings M, George CS, Culbertson J, Salehi H, Furterer S, Pergola M, Culp MP, Malamateniou C. The American Society of Radiologic Technologists (ASRT) AI educator survey: A cross-sectional study to explore knowledge, experience, and use of AI within education. J Med Imaging Radiat Sci 2024;55(4):101449. https://doi.org/10.1016/j.jmir.2024.101449
6. Rainey C, O'Regan T, Matthew J, Skelton E, Woznitza N, Chu KY, Goodman S, McConnell J, Hughes C, Bond R, Malamateniou C, McFadden S. An insight into the current perceptions of UK radiographers on the future impact of AI on the profession: A cross-sectional survey. J Med Imaging Radiat Sci 2022;53(3):347-361. https://doi.org/10.1016/j.jmir.2022.05.010
8. Akudjedu TN, Torre S, Khine R, Katsifarakis D, Newman D, Malamateniou C. Knowledge, perceptions, and expectations of Artificial intelligence in radiography practice: A global radiography workforce survey. J Med Imaging Radiat Sci 2023;54(1):104-116. https://doi.org/10.1016/j.jmir.2022.11.016