119 posters, 6 topics, 524 authors, 243 institutions

RCR Global AI Conference 2026

29-30 June, 2026 | QEII Centre, Westminster

Posters by Session

Navigating Artificial Intelligence (AI) Leadership: Radiographers’ Readiness and Challenges in the UK

Gemma Walsh, Janice St. John-Matthews, Yiannis Kyratsis, Amanda Goddall, Christina Malamateniou

City St George's University of London, NHS England, Erasmus University Rotterdam, Bayes Business School, City St George's University of London

Poster Presenter: Gemma Walsh

Secure Data Environments for Radiology AI Research: Experiences from a Driver Project

Afagh Garjani, Alan Bagnall, Mark Walsh, Hils Poole, Anna Beattie

School of Radiology, Health Education North East, Newcastle upon Tyne, United Kingdom, The Newcastle Upon Tyne Hospitals NHS Foundation Trust, Newcastle upon Tyne, United Kigdom, SDEs offer considerable opportu...

Poster Presenter: Afagh Garjani

Thumbnail for <p>Framework for Clinical Validation of an Autonomous AI-Based Breast Cancer Detection Prototype: Algorithmic Validation Using the Wisconsin Diagnostic Dataset</p>

Framework for Clinical Validation of an Autonomous AI-Based Breast Cancer Detection Prototype: Algorithmic Validation Using the Wisconsin Diagnostic Dataset

Alexandre ST-VINCENT VILLENEUVE

University of Quebec at Montreal (Canada)

Poster Presenter: Alexandre ST-VINCENT VILLENEUVE

Developing MaRISA: the Magnetic Resonance Implant Safety Agent

Mario Nicola, Anna Egan, Agnieszka Peplinski, David Adams, Joe Martin

Barts Health NHS Trust

Poster Presenter: Mario Nicola

Artificial Intelligence in Eye Care Practice: A Qualitative Multi-Disciplinary Perspective.

Fiona Buckmaster, Diane van Staden, Lauren Coetzee

University of Huddersfield, University of KwaZulu-Natal

Poster Presenter: Fiona Buckmaster

Thumbnail for <p>Radiology Service Delivery in the Future: Which "Toilsome" aspects of their current role would Radiologists wish to delegate to an AI Agent ? Design of a baseline audit of Radiologist and Referring Clinicians' Views</p>

Radiology Service Delivery in the Future: Which "Toilsome" aspects of their current role would Radiologists wish to delegate to an AI Agent ? Design of a baseline audit of Radiologist and Referring Clinicians' Views

Inika Vardhan, WeiZhen Kua, Neslihan Isleyen, Sadie Khwaja, Adrian Tang

The Faculty of Biology, Medicine and Health, University of Manchester, Manchester, United Kingdom, Queen's Hospital, BHRUT, Manchester University NHS Foundation Trust

Poster Presenter: Inika Vardhan

$Thumbnail for Evaluating sensitivity and specificity of Gleamer BoneView AI for fracture detection $

Evaluating sensitivity and specificity of Gleamer BoneView AI for fracture detection

Lin Ling Xu , William Verrier, Kumaresh Skanthabalan, Madhavi Venumbaka

East Suffolk and North Essex NHS Trust

Poster Presenter: Lin Ling Xu

Comparative Evaluation of Commercial AI Algorithms for Fracture Detection on Musculoskeletal Radiographs

James Vaz, Katrina Nash, Alex Novak, Cosmin Mihaiu, Nabeeha Salik, Sarim Ather

OxCAIR, Oxford University Hospitals NHS Foundation Trust, RAIQC Ltd

Poster Presenter: James Vaz

AI readiness for healthcare provider organisations

Thomas Evans, Natalie Davison, Ruth Agbakoba, Caroline Webb, Joseph Alderman, Xiaoxuan Liu, Alastair Denniston, Jeffry Hogg

College of Medicine and Health, University of Birmingham, College of Medicine and Health, University of Birmingham and NHS England, NIHR Birmingham Biomedical Research Centre , College of Medicine and Health, U...

Poster Presenter: Thomas Evans

RCR Global AI Conference 2026

Posters by Session

<p>Navigating Artificial Intelligence (AI) Leadership: Radiographers’ Readiness and Challenges in the UK</p>

<p>Secure Data Environments for Radiology AI Research: Experiences from a Driver Project</p>

<p>Framework for Clinical Validation of an Autonomous AI-Based Breast Cancer Detection Prototype: Algorithmic Validation Using the Wisconsin Diagnostic Dataset</p>

<p>Developing MaRISA: the Magnetic Resonance Implant Safety Agent</p>

<p>Artificial Intelligence in Eye Care Practice: A Qualitative Multi-Disciplinary Perspective.</p>

<p>Radiology Service Delivery in the Future: Which "Toilsome" aspects of their current role would Radiologists wish to delegate to an AI Agent ? Design of a baseline audit of Radiologist and Referring Clinicians' Views</p>

<p>Evaluating sensitivity and specificity of Gleamer BoneView AI for fracture detection </p>

<p>Comparative Evaluation of Commercial AI Algorithms for Fracture Detection on Musculoskeletal Radiographs</p>

<p>AI readiness for healthcare provider organisations</p>

Posters by Session

<p>Navigating Artificial Intelligence (AI) Leadership: Radiographers’ Readiness and Challenges in the UK</p>

<p>Secure Data Environments for Radiology AI Research: Experiences from a Driver Project</p>

<p>Framework for Clinical Validation of an Autonomous AI-Based Breast Cancer Detection Prototype: Algorithmic Validation Using the Wisconsin Diagnostic Dataset</p>

<p>Developing MaRISA: the Magnetic Resonance Implant Safety Agent</p>

<p>Artificial Intelligence in Eye Care Practice: A Qualitative Multi-Disciplinary Perspective.</p>

<p>Radiology Service Delivery in the Future: Which &quot;Toilsome&quot; aspects of their current role would Radiologists wish to delegate to an AI Agent ? Design of a baseline audit of Radiologist and Referring Clinicians&apos; Views</p>

<p>Evaluating sensitivity and specificity of Gleamer BoneView AI for fracture detection </p>

<p>Comparative Evaluation of Commercial AI Algorithms for Fracture Detection on Musculoskeletal Radiographs</p>

<p>AI readiness for healthcare provider organisations</p>

<p>Radiology Service Delivery in the Future: Which "Toilsome" aspects of their current role would Radiologists wish to delegate to an AI Agent ? Design of a baseline audit of Radiologist and Referring Clinicians' Views</p>