Royal Devon & Exeter NHS Foundation Trust

Stakeholder perspectives towards diagnostic artificial intelligence: a co-produced qualitative evidence synthesis

Rachel Kuo, Alexander Freethy, Judi Helen Smith et al.

2024 · 35 Zit.

A report from the NIHR UK working group on remote trial delivery for the COVID-19 pandemic and beyond

Jane Masoli, Kim Down, Gary Nestor et al.

2021 · 20 Zit.

Artificial intelligence as a diagnostic aid in cross-sectional radiological imaging of surgical pathology in the abdominopelvic cavity: a systematic review

G Fowler, Natalie Blencowe, Conor Hardacre et al.

2023 · 10 Zit.

Assessing artificial intelligence in breast screening with stratified results on 306 839 mammograms across geographic regions, age, breast density and ethnicity: A Retrospective Investigation Evaluating Screening (ARIES) study

Cary Oberije, Rachel Currie, Alice Leaver et al.

2025 · 8 Zit.

Artificial intelligence as a diagnostic aid in cross-sectional radiological imaging of the abdominopelvic cavity: a protocol for a systematic review

G Fowler, Rhiannon Macefield, Conor Hardacre et al.

2021 · 2 Zit.

Correction: Blood RNA analysis can increase clinical diagnostic rate and resolve variants of uncertain significance

Htoo A. Wai, Jenny Lord, Matthew Lyon et al.

2020 · 2 Zit.

Management of post-operative anaemia in patients undergoing surgery for colorectal cancer: a qualitative focus group-based study

Samuel Lawday, Susannah Williams, Elizabeth C James et al.

2025 · 2 Zit.

Rapid mobilisation of research in response to covid-19: a paradigm for the future

Martin James, Gary A. Ford, Thompson Robinson et al.

2020 · 1 Zit.

Transforming kidney cancer treatment through AI-enabled functional precision medicine: The PEAR-TREE2 trial.

Matthew Williams, Ekaterini Boleti, Victoria Ford et al.

2025 · 0 Zit.