119 posters, 6 topics, 524 authors, 243 institutions

RCR Global AI Conference 2026

29-30 June, 2026 | QEII Centre, Westminster

Posters by Code

Showing 119 results.

158

<p>Reader-dependent impact of AI on chest radiograph lung cancer management by lesion location.</p>

Asif Machhada*, Sophie Birch, Lucy Osborne*, Simon Rickaby, Erin Dowd, Khattab Alkhedairy, Emad Ibrahim, Geraldine Dean, Anita Rhodes

Kingston Hospital NHS Foundation Trust, Kingston Hospital NHS Foundation Trust, Kingston Hospital NHS Foundation Trust, Kingston Hospital NHS Foundation Trust, Kingston and Richmond NHS Foundation Trust, AI Ima...

Poster Presenter: Asif Machhada*

162

<p>Open Source Foundation Models on Plain Musculoskeletal and Chest Radiographs: A Multi-Model Diagnostic Accuracy Study</p>

Katrina Nash, Joseph Salf, Anissa Alloula, James Vaz, Alex Novak, Bartolimiej Papiez, Sarim Ather

Oxford University Hospitals, NHS Tayside, University of Oxford, Oxford Unviersity Hospitals

Poster Presenter: Joseph Salf

RCR Global AI Conference 2026

Posters by Code

<p>Reader-dependent impact of AI on chest radiograph lung cancer management by lesion location.</p>

<p>Open Source Foundation Models on Plain Musculoskeletal and Chest Radiographs: A Multi-Model Diagnostic Accuracy Study</p>

<p>Automating the Management of Extra-Spinal Findings in MRI Spine Studies Using a Privacy-Preserving Large Language Model: A Proof-of-Concept Study</p>

<p>Machine-Learning MRI-based Model for papilledema detection</p>

<p>Machine Learning MRI-based model for early detection of knee osteoarthritis</p>

<p>Artificial-Intelligence & Machine-Learning Based Models in evaluating Alzheimer's disease and its association with Diabetes Mellitus</p>

<p>AI for assisting the reporting of chest x-rays: challenges of quantitatively evaluating live implementation</p>

<p>Assessing staff perspectives on governance, trust, and bias in AI for radiotherapy: a departmental service evaluation </p>

<p>Real-World Monitoring as the Missing Piece for Deploying Independent AI Readers in Mammography Screening</p>

Posters by Code

<p>Reader-dependent impact of AI on chest radiograph lung cancer management by lesion location.</p>

<p>Open Source Foundation Models on Plain Musculoskeletal and Chest Radiographs: A Multi-Model Diagnostic Accuracy Study</p>

<p>Automating the Management of Extra-Spinal Findings in MRI Spine Studies Using a Privacy-Preserving Large Language Model: A Proof-of-Concept Study</p>

<p>Machine-Learning MRI-based Model for papilledema detection</p>

<p>Machine Learning MRI-based model for early detection of knee osteoarthritis</p>

<p>Artificial-Intelligence &amp; Machine-Learning Based Models in evaluating Alzheimer&apos;s disease and its association with Diabetes Mellitus</p>

<p>AI for assisting the reporting of chest x-rays: challenges of quantitatively evaluating live implementation</p>

<p>Assessing staff perspectives on governance, trust, and bias in AI for radiotherapy: a departmental service evaluation </p>

<p>Real-World Monitoring as the Missing Piece for Deploying Independent AI Readers in Mammography Screening</p>

<p>Artificial-Intelligence & Machine-Learning Based Models in evaluating Alzheimer's disease and its association with Diabetes Mellitus</p>