Royal College of Radiologists

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

Clare Rainey, Tracy O’Regan, Jacqueline Matthew et al.

2021 · 76 Zit.

Artificial Intelligence: Guidance for clinical imaging and therapeutic radiography professionals, a summary by the Society of Radiographers AI working group

Christina Malamateniou, Sonyia McFadden, Yasmin McQuinlan et al.

2021 · 65 Zit.

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

Clare Rainey, Tracy O’Regan, Jacqueline Matthew et al.

2022 · 40 Zit.

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

G. Walsh, Nikolaos Stogiannos, Riaan van de Venter et al.

2023 · 39 Zit.

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

Clare Rainey, Tracy O’Regan, Jacqueline Matthew et al.

2022 · 26 Zit.

A multidisciplinary team and multiagency approach for AI implementation: A commentary for medical imaging and radiotherapy key stakeholders

Nikolaos Stogiannos, Caitlin Gillan, Helle Precht et al.

2024 · 24 Zit.

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

Nikolaos Stogiannos, Lia Litosseliti, Tracy O’Regan et al.

2024 · 23 Zit.

AI implementation in the UK landscape: Knowledge of AI governance, perceived challenges and opportunities, and ways forward for radiographers

Nikolaos Stogiannos, Tracy O’Regan, Erica Scurr et al.

2024 · 22 Zit.

Artificial intelligence for diagnostics in radiology practice: a rapid systematic scoping review

R. C. Lawrence, Emma Dodsworth, Efthalia Massou et al.

2025 · 19 Zit.

Beyond regulatory compliance: evaluating radiology artificial intelligence applications in deployment

Jack Ross, Salah Hammouche, Joseph C. Y. Chen et al.

2024 · 16 Zit.

Towards nationally curated data archives for clinical radiology image analysis at scale: Learnings from national data collection in response to a pandemic

Dominic Cushnan, Rosalind Berka, Ottavia Bertolli et al.

2021 · 14 Zit.

R-AI-diographers: a European survey on perceived impact of AI on professional identity, careers, and radiographers’ roles

Nikolaos Stogiannos, G. Walsh, Benard Ohene Botwe et al.

2025 · 12 Zit.

Lessons on AI implementation from senior clinical practitioners: An exploratory qualitative study in medical imaging and radiotherapy in the UK

Nikolaos Stogiannos, Tracy O’Regan, Erica Scurr et al.

2024 · 11 Zit.

Research ethics training, challenges, and suggested improvements across Europe: Radiography research ethics standards for Europe (RRESFE)

S. Bockhold, J.P. McNulty, Edwin Abdurakman et al.

2022 · 10 Zit.

Artificial intelligence (AI) in radiography practice, research and education: A review of contemporary developments and predictions for the future

Christina Malamateniou, Tracy O’Regan, Sonyia McFadden et al.

2024 · 5 Zit.