National Health Service Scotland

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 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.

Disclosure control of machine learning models from trusted research environments (TRE): New challenges and opportunities

Esma Mansouri-Benssassi, Simon Rogers, Smarti Reel et al.

2023 · 13 Zit.

GRAIMATTER Green Paper: Recommendations for disclosure control of trained Machine Learning (ML) models from Trusted Research Environments (TREs)

Emily Jefferson, James Liley, Maeve Malone et al.

2022 · 5 Zit.

Recommendations for disclosure control of trained Machine Learning (ML) models from Trusted Research Environments (TREs)

Emily Jefferson, James Liley, Maeve Malone et al.

2022 · 2 Zit.

GRAIMATTER Public Summary: Recommendations for disclosure control of trained Machine Learning (ML) models from Trusted Research Environments (TREs)

Felix Ritchie, Jillian Beggs, Antony Chuter et al.

2022 · 0 Zit.