Clare Rainey

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

2021 · 77 Zit. · Frontiers in Digital Health

UK reporting radiographers’ perceptions of AI in radiographic image interpretation – Current perspectives and future developments

2022 · 41 Zit. · Radiography

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

2023 · 39 Zit. · BJR|Open

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

2021 · 28 Zit. · Intelligence-Based Medicine

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

2022 · 26 Zit. · Journal of medical imaging and radiation sciences

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

2023 · 14 Zit. · PLOS Digital Health

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

2024 · 8 Zit. · PLOS Digital Health

Artificial Intelligence user interface preferences in radiology: A scoping review

2025 · 5 Zit. · Journal of medical imaging and radiation sciences

The impact of AI feedback on the accuracy of diagnosis, decision switching and trust in radiography

2025 · 3 Zit. · PLoS ONE

An evaluation of a checklist in musculoskeletal radiographic image interpretation when using artificial intelligence

2024 · 1 Zit. · Journal of Medical Radiation Sciences

Large language models (LLMs) in radiography research: A narrative review

2025 · 1 Zit. · Radiography

Impact of a checklist when interpreting Musculoskeletal (MSK) images and using Artificial Intelligence (AI)

2024 · 0 Zit.

Advancing AI integration within radiology through multidisciplinary collaboration: the impact of an AI Study Conference

2025 · 0 Zit.

AI in Projectional Radiography

2026 · 0 Zit.

Radiology AI for Prioritised Imaging and Diagnosis of Lung Cancer (RAPID-LC): the stakeholders perspective.

2025 · 0 Zit.