St James's University Hospital
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
Adversarial attacks and adversarial robustness in computational pathology
Narmin Ghaffari Laleh, Daniel Truhn, Gregory Patrick Veldhuizen et al.
2022 · 109 Zit.
Digital pathology access and usage in the UK: results from a national survey on behalf of the National Cancer Research Institute’s CM-Path initiative
Bethany Williams, Jessica Lee, Karin A. Oien et al.
2018 · 66 Zit.
Generalization of Deep Learning in Digital Pathology: Experience in Breast Cancer Metastasis Detection
Sofia Jarkman, Micael Karlberg, Milda Pocevičiūtė et al.
2022 · 33 Zit.
Public governance of medical artificial intelligence research in the UK: an integrated multi-scale model
Francis McKay, Bethany Williams, Graham Prestwich et al.
2022 · 15 Zit.
The Future of AI in Ovarian Cancer Research: The Large Language Models Perspective
Alexandros Laios, Georgios Theophilou, Diederick De Jong et al.
2023 · 15 Zit.
A methodological framework for AI-assisted diagnosis of active aortitis using radiomic analysis of FDG PET–CT images: Initial analysis
Lisa Duff, Andrew Scarsbrook, Sarah Mackie et al.
2022 · 13 Zit.
Using artificial intelligence to predict patient outcomes from patient-reported outcome measures: a scoping review
Zuzanna Wójcik, Vania Dimitrova, Lorraine Warrington et al.
2025 · 9 Zit.
Accuracy of the Surgeons’ Clinical Prediction of Postoperative Major Complications Using a Visual Analog Scale
John C. Woodfield, P. M. Sagar, Dinesh Thekkinkattil et al.
2016 · 9 Zit.
Artificial intelligence and soft skills in radiation oncology: Data versus wisdom
Ian S. Boon, Jean S. Lim, Moi Hoon Yap et al.
2020 · 9 Zit.
Artificial intelligence in healthcare: applications, challenges, and future directions. A narrative review informed by international, multidisciplinary expertise
Ata Mohajer-Bastami, Sarah Moin, Suhaib Ahmad et al.
2025 · 8 Zit.
Research culture, barriers and facilitators within the radiography workforce in the UK – results of a national survey
K Knight, Matthew Beasley, Jonathan McConnell et al.
2025 · 7 Zit.
Artificial Intelligence
Philipp Kron, Shahid Farid, Sharib Ali et al.
2024 · 7 Zit.
The Pitfalls of Using Open Data to Develop Deep Learning Solutions for COVID-19 Detection in Chest X-Rays
Rachael Harkness, Geoff Hall, Alejandro F. Frangi et al.
2022 · 5 Zit.
Application of Artificial Intelligence in Pancreatic Cyst Management: A Systematic Review
Dong‐Hyun Lee, Fadel Jesry, John J. Maliekkal et al.
2025 · 5 Zit.
Beauty is in the explainable artificial intelligence (XAI) of the “agnostic” beholder
Alexandros Laios, Diederick De Jong, Evangelos Kalampokis
2023 · 5 Zit.