Personal profile
Biography
Clare is a diagnostic radiographer by background, with over 20 years’ experience in clinical and academic radiography. She holds a PhD in AI for radiographic image interpretation and has particular interest in the impact of advanced technologies on human decision making. She has published in international peer reviewed journals in the area. Clare has developed e-learning resources for the NHS in the UK and has delivered invited talks on AI for both international conferences and for other higher education institutions. She is the Chair of the AI Advisory Board for the Society and College of Radiographers, the Chair and founder of the CHERISH-AI research group and a founding member of the European Federation of Radiographer Societies (EFRS) Imaging Informatics group. Recent publications include research on automation bias/trust in clinical AI and its impact on human decision making. Clare is an associate editor for the Journal of Medical Imaging and Radiation Sciences.
UCC Futures (primary)
- Future of Health
Other research affiliations
- FSRC - Future of Health
PhD Supervision
- Available for PhD supervision
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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SDG 3 Good Health and Well-being
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SDG 4 Quality Education
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SDG 9 Industry, Innovation, and Infrastructure
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Collaborations and top research areas from the last five years
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The impact of AI feedback on the accuracy of diagnosis, decision switching and trust in radiography
Rainey, C., Bond, R., McConnell, J., Gill, A., Hughes, C., Kumar, D. & McFadden, S., May 2025, In: PLOS ONE. 20, 5 May, e0322051.Research output: Contribution to journal › Article › peer-review
Open Access -
Reporting radiographers’ interaction with Artificial Intelligence—How do different forms of AI feedback impact trust and decision switching?
Rainey, C., Bond, R., McConnell, J., Hughes, C., Kumar, D. & McFadden, S., 1 Aug 2024, In: PLOS Digital Health. 3, 8, e0000560.Research output: Contribution to journal › Article › peer-review
Open Access -
Computed tomography, ultrasound and fluoroscopy guidance in intra-articular sacroiliac joint injections: A systematic review
Greene, A., Young, R., Rainey, C., Greene, C., Gavin, A., McLaughlin, L., England, A. & McEntee, M., 2026, (Accepted/In press) In: Radiography. 103332.Research output: Contribution to journal › Review article › peer-review
Open Access -
Computed tomography, ultrasound and fluoroscopy guidance in intra-articular sacroiliac joint injections: A systematic review
Greene, A., Young, R., Rainey, C., Greene, C., Gavin, A., McLaughlin, L., England, A. & McEntee, M., Jan 2026, In: Radiography.Research output: Contribution to journal › Article › peer-review
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Large language models (LLMs) in radiography research: A narrative review
Rainey, C., England, A., Murphy, P. C., Mohammad, A., Hadi, Y. H. & McEntee, M., Jan 2026, In: Radiography.Research output: Contribution to journal › Article › peer-review
Press/Media
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Many Radiographers Unsure How Smart Systems Interpret X-Rays
6/07/22
1 item of Media coverage
Press/Media
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Study finds many radiographers unsure how smart computer systems interpret X-rays
5/07/22
1 item of Media coverage
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Study: Many radiographers lack understanding of how smart computer systems diagnose problems
5/07/22
1 item of Media coverage
Press/Media