C. Rainey

An insight into the current perceptions of UK radiographers on the future impact of AI on the profession: A cross-sectional survey.

C. Malamateniou, N. Woznitza, J. McConnell, 2022, Journal of medical imaging and radiation sciences.

UK reporting radiographers' perceptions of AI in radiographic image interpretation - Current perspectives and future developments.

C. Malamateniou, N. Woznitza, J. McConnell, 2022, Radiography.

A Visual-Acuity Survey: Report of 721 Cases*

C. Rainey, 1937 .

Leading by living - A personal journey towards values and goals-based leadership of self and others.

C. Rainey, 2022, Journal of medical imaging and radiation sciences.

Responsible AI practice and AI education are central to AI implementation: a rapid review for all medical imaging professionals in Europe

E. Kotter, M. Huisman, S. Bisdas, 2023, BJR|Open.

An experimental machine learning study investigating the decision-making process of students and qualified radiographers when interpreting radiographic images

S. McFadden, C. Rainey, R. Bond, 2023, PLOS digital health.

Artificial intelligence for diagnosis of fractures on plain radiographs: A scoping review of current literature

R. Bond, C. Hughes, S. McFadden, 2021, Intelligence-Based Medicine.

Reporting radiographers’ interaction with Artificial Intelligence—How do different forms of AI feedback impact trust and decision switching?

S. McFadden, C. Rainey, R. Bond, 2024, PLOS digital health.