All Outputs (6)

The impact of AI feedback on the accuracy of diagnosis, decision switching and trust in radiography (2025)
Journal Article

Artificial intelligence decision support systems have been proposed to assist a struggling National Health Service (NHS) workforce in the United Kingdom. Its implementation in UK healthcare systems has been identified as a priority for deployment. Fe... Read More about The impact of AI feedback on the accuracy of diagnosis, decision switching and trust in radiography.

Integrating AI into medical imaging curricula: Insights from UK HEIs (2025)
Journal Article

Introduction
With artificial intelligence (AI) becoming increasingly integrated into medical imaging, the Health and Care Professions Council (HCPC) updated its Standards of Proficiency for Radiographers in Autumn... Read More about Integrating AI into medical imaging curricula: Insights from UK HEIs.

Artificial Intelligence user interface preferences in radiology: A scoping review. (2025)
Journal Article

Modern forms of Artificial intelligence (AI) have developed in radiology over the past few years. With the current workforce shortages, in both radiology and radiography professions, AI continues to prove its place in supporting clinical radiology pr... Read More about Artificial Intelligence user interface preferences in radiology: A scoping review..

An evaluation of a checklist in musculoskeletal radiographic image interpretation when using artificial intelligence (2024)
Journal Article

Introduction: Artificial intelligence (AI) is being used increasingly in image interpretation tasks. Human reliance on technology and bias can cause decision errors. A checklist, used with the AI to mitigate against such biases, may optimise the use... Read More about An evaluation of a checklist in musculoskeletal radiographic image interpretation when using artificial intelligence.

Radiographer Education and Learning in Artificial Intelligence (REAL-AI): A survey of radiographers, radiologists, and students’ knowledge of and attitude to education on AI (2024)
Journal Article
Doherty, G., McLaughlin, L., Hughes, C., McConnell, J., Bond, R., & McFadden, S. (2024). Radiographer Education and Learning in Artificial Intelligence (REAL-AI): A survey of radiographers, radiologists, and students’ knowledge of and attitude to education on AI. Radiography, 30(Supplement 2), 79-87. https://doi.org/10.1016/j.radi.2024.10.010

Introduction
In Autumn 2023, amendments to the Health and Care Professions Councils (HCPC) Standards of Proficiency for Radiographers were introduced requiring clinicians to demonstrate awareness of the principles... Read More about Radiographer Education and Learning in Artificial Intelligence (REAL-AI): A survey of radiographers, radiologists, and students’ knowledge of and attitude to education on AI.

Impact of a digital training platform and tailored education on the chest image interpretation performance of healthcare professionals (2024)
Journal Article
McLaughlin, L., Johnstone, G., McFadden, S., Hughes, C., Nesbitt, L., Bond, R., & McConnell, J. (2024). Impact of a digital training platform and tailored education on the chest image interpretation performance of healthcare professionals. Radiography, 30(4), 1158-1166. https://doi.org/10.1016/j.radi.2024.04.029

Introduction
With the use of expert consensus a digital training tool was developed which proved useful when teaching radiographers how to interpret chest images. The training tool included A) a search strategy and B) an educational video programme... Read More about Impact of a digital training platform and tailored education on the chest image interpretation performance of healthcare professionals.