City, University of London

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

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

2021 · 80 Zit.

Professionals’ responses to the introduction of AI innovations in radiology and their implications for future adoption: a qualitative study

Yaru Chen, Charitini Stavropoulou, Radhika Narasinkan et al.

2021 · 79 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.

Knowledge, perceptions, and expectations of Artificial intelligence in radiography practice: A global radiography workforce survey

Theophilus N. Akudjedu, Sofia Torre, Ricardo Khine et al.

2022 · 57 Zit.

Validation framework for the use of AI in healthcare: overview of the new British standard BS30440

Mark Sujan, Cassius Smith-Frazer, Christina Malamateniou et al.

2023 · 54 Zit.

On Assessing Trustworthy AI in Healthcare. Machine Learning as a Supportive Tool to Recognize Cardiac Arrest in Emergency Calls

Roberto V. Zicari, James Brusseau, Stig Nikolaj Fasmer Blomberg et al.

2021 · 51 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 · 45 Zit.

Black box no more: a scoping review of AI governance frameworks to guide procurement and adoption of AI in medical imaging and radiotherapy in the UK

Nikolaos Stogiannos, Rizwan Malik, Amrita Kumar 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.

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.

Exploring a new paradigm for the fetal anomaly ultrasound scan: Artificial intelligence in real time

Jacqueline Matthew, Emily Skelton, Thomas G. Day et al.

2021 · 37 Zit.

The AI of the Beholder: Intra‐Professional Sensemaking of an Epistemic Technology

Harry Scarbrough, Yaru Chen, Gerardo Patriotta

2024 · 28 Zit.

Classification and Visualisation of Normal and Abnormal Radiographs; A Comparison between Eleven Convolutional Neural Network Architectures

Ananda Ananda, Kwun Ho Ngan, Cefa Karabağ et al.

2021 · 27 Zit.

Centering Public Perceptions on Translating AI Into Clinical Practice: Patient and Public Involvement and Engagement Consultation Focus Group Study

William Lammons, Milou Silkens, Jamie Hunter et al.

2023 · 26 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.