NHS Greater Glasgow and Clyde

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.

Impact of Different Mammography Systems on Artificial Intelligence Performance in Breast Cancer Screening

Clarisse F. de Vries, Samantha J. Colosimo, Roger T. Staff et al.

2023 · 45 Zit.

An extensive survey of radiographers from the Middle East and India on artificial intelligence integration in radiology practice

Mohamed Abuzaid, Wiam Elshami, Jonathan McConnell et al.

2021 · 43 Zit.

Computing eye gaze metrics for the automatic assessment of radiographer performance during X-ray image interpretation

Laura McLaughlin, Raymond Bond, Ciara Hughes et al.

2017 · 29 Zit.

Artificial intelligence for diagnosis of fractures on plain radiographs: A scoping review of current literature

Clare Rainey, Jonathan McConnell, Ciara Hughes et al.

2021 · 28 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.

Demystifying the Black Box: The Importance of Interpretability of Predictive Models in Neurocritical Care

Laura Moss, David Corsar, Martin Shaw et al.

2022 · 26 Zit.

Understanding the ethical and legal considerations of Digital Pathology

Cheryl Coulter, Francis McKay, Nina Hallowell et al.

2021 · 18 Zit.

Radiography doctorates in Arabia: Current position and opportunities to transform research practice in the Middle East

Wiam Elshami, Jonathan McConnell, Mohamed Abuzaid et al.

2020 · 14 Zit.

Machine learning and preoperative risk prediction: the machines are coming

Ben Shelley, Martin Shaw

2024 · 10 Zit.

Applying artificial intelligence to big data in hepatopancreatic and biliary surgery: a scoping review

K McGivern, Thomas M Drake, Stephen R Knight et al.

2023 · 9 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 · 7 Zit.

Five points to consider when reading a translational machine-learning paper

Dominic Dwyer, Rajeev Krishnadas

2022 · 6 Zit.

Artificial Intelligence Fully Automated Analysis of Handheld Echocardiography in Real-World Patients with Suspected Heart Failure

Ross T. Campbell, Mark C Petrie, Kieran F. Docherty et al.

2025 · 3 Zit.

Use of “Hidden in Plain Sight” de-identification methodology in electronic healthcare data provides minimal risk of misidentification: Results from the iCAIRD Safe Haven Artificial Intelligence Platform.

Luke Farrow, Katie Wilde, Jaroslaw Dymiter et al.

2022 · 3 Zit.