Canterbury Christ Church University

Artificial intelligence in radiography: Where are we now and what does the future hold?

Christina Malamateniou, Karen Knapp, M. Pergola et al.

2021 · 79 Zit.

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.

Artificial intelligence education for radiographers, an evaluation of a UK postgraduate educational intervention using participatory action research: a pilot study

Riaan van de Venter, Emily Skelton, Jacqueline Matthew et al.

2023 · 44 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.

Concordance of randomised controlled trials for artificial intelligence interventions with the CONSORT-AI reporting guidelines

Alexander P. L. Martindale, Carrie Llewellyn, Richard de Visser et al.

2024 · 32 Zit.

Thematic Analysis and Artificial Intelligence: A Step-by-Step Process for Using ChatGPT in Thematic Analysis

Muhammad Naeem, Tracy Smith, Lorna Thomas

2025 · 28 Zit.

Artificial intelligence chatbots as sources of patient education material for cataract surgery: ChatGPT-4 versus Google Bard

Matthew Azzopardi, Benjamin Ng, Abison Logeswaran et al.

2024 · 27 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.

Large Language Models in Oncology: Revolution or Cause for Concern?

Aydin Caglayan, Wojciech Slusarczyk, Rukhshana Dina Rabbani et al.

2024 · 21 Zit.

Evaluating AI adoption in healthcare: Insights from the information governance professionals in the United Kingdom

David B. Olawade, Kusal Weerasinghe, Jennifer Teke et al.

2025 · 19 Zit.

The Impact of AI-driven Remote Patient Monitoring on Cancer Care: A Systematic Review

Faisal Aziz, Diletta Bianchini, David B. Olawade et al.

2025 · 10 Zit.

Evaluating the impact of artificial intelligence-assisted image analysis on the diagnostic accuracy of front-line clinicians in detecting fractures on plain X-rays (FRACT-AI): protocol for a prospective observational study

Alex Novak, Max Hollowday, Abdalá Trinidad Espinosa Morgado et al.

2024 · 10 Zit.

Artificial intelligence (AI) for paediatric fracture detection: a multireader multicase (MRMC) study protocol

Susan C. Shelmerdine, Cato Pauling, Emma Allan et al.

2024 · 8 Zit.

Assessing the effectiveness of artificial intelligence (AI) in prioritising CT head interpretation: study protocol for a stepped-wedge cluster randomised trial (ACCEPT-AI)

Kavitha Vimalesvaran, Dennis Robert, Shamie Kumar et al.

2024 · 6 Zit.