Cancer Research UK Manchester Institute

Assessing the communication gap between AI models and healthcare professionals: Explainability, utility and trust in AI-driven clinical decision-making

Oskar Wysocki, Jessica Katharine Davies, Markel Vigo et al.

2022 · 126 Zit.

A joint ESTRO and AAPM guideline for development, clinical validation and reporting of artificial intelligence models in radiation therapy

Coen Hurkmans, Jean‐Emmanuel Bibault, Kristy K. Brock et al.

2024 · 61 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.

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.

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.

HTA10 HTA Considerations for Large Language Models in Healthcare

Charles E. Leonard, Harriet Unsworth, Sheryl Warttig 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.