The Christie NHS Foundation Trust
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
Reporting guideline for the early-stage clinical evaluation of decision support systems driven by artificial intelligence: DECIDE-AI
Baptiste Vasey, Myura Nagendran, Bruce Campbell et al.
2022 · 428 Zit.
The application and use of artificial intelligence in cancer nursing: A systematic review
Siobhán O’Connor, Amy Vercell, David Wong et al.
2024 · 33 Zit.
The Metaverse and Oncology
Alan McWilliam, Peter Scarfe
2022 · 25 Zit.
Development and results of a patient-reported treatment experience questionnaire on a 1.5 T MR-Linac
Helen Barnes, S. Alexander, L. Bower et al.
2021 · 24 Zit.
Publisher Correction: Reporting guideline for the early-stage clinical evaluation of decision support systems driven by artificial intelligence: DECIDE-AI
Baptiste Vasey, Myura Nagendran, B. A. Campbell et al.
2022 · 7 Zit.
Translating the machine; An assessment of clinician understanding of ophthalmological artificial intelligence outputs
Oskar Wysocki, S. L. Mak, Hannah Frost et al.
2025 · 2 Zit.
Interoperability in NHS Acute Trusts within England: a Situation and Capability Analysis using Freedom of Information requests
Sanjay Budhdeo, Chathika K. Weerasuriya, Joe Zhang et al.
2021 · 1 Zit.
The UpSMART Accelerator: driving digital innovation to change the conduct of early phase cancer medicine trials
Fouziah Butt, Stephenson Laura, Luca Agnelli et al.
2022 · 1 Zit.
53 Enhanced Detection Rate of AI for Lung Cancer Detection on GP-Referred Chest X-rays
Anubhav Datta, Pawel Rozwadowski, Philip Broadhurst et al.
2026 · 0 Zit.
34 Artificial Intelligence (AI) prioritisation of Chest XR (CXR) reporting reduces time to subsequent Computerized Tomography (CT) and review in clinic.
Tom Fincham, Matthew Evison, Seamus Grundy et al.
2026 · 0 Zit.
Implementation of radiographer-led organ-at-risk delin-eation for pancreatic SABR on the MR Linac
Mairéad Daly, Andrew Brocklehurst, Benedict Dobby et al.
2025 · 0 Zit.
IMG-20. IDENTIFICATION OF PRE-OPERATIVE IMAGING FEATURES ASSOCIATED WITH COGNITIVE IMPAIRMENT IN CHILDREN WITH BRAIN TUMOURS USING A LANGUAGE MODELLING SYSTEM COMBINED WITH MACHINE LEARNING ANALYSIS
Simon Dockrell, Anna Maria Tsakiroglou, Kate Vaughan et al.
2024 · 0 Zit.
1769eP Patient perceptions of artificial intelligence-assisted eye imaging: Insights from the A-EYE study
Abhishek Andhale, S. L. Mak, Minha Lee et al.
2025 · 0 Zit.
Working as a Health AI Specialist
Angela Davies, Alan Davies, Anthony Wilson et al.
2021 · 0 Zit.