119 posters, 6 topics, 524 authors, 243 institutions

RCR Global AI Conference 2026

29-30 June, 2026 | QEII Centre, Westminster

Posters

Showing 119 results.

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

163

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

Yi Jie Gifford Tan, Wilson Ong, Matthew Chan, Yonghan Ting, James Thomas Patrick Decourcy Hallinan

National University Hospital

Poster Presenter: Yi Jie Gifford Tan

165

Machine-Learning MRI-based Model for papilledema detection

Rajul Rastogi, Kunal Sehgal, Dharmesh Singh, Dileep Kumar

Teerthanker Mahaveer Medical College & Research Center, Moradabad, Uttar Pradesh, India, Central research institute, Global Scientific Collaborations, United Imaging Healthcare

Poster Presenter: Rajul Rastogi

167

Machine Learning MRI-based model for early detection of knee osteoarthritis

Rajul Rastogi, Mayank Chauhan, Dharmesh Singh, Dileep Kumar

Teerthanker Mahaveer Medical College & Research Center, Moradabad, Uttar Pradesh, India, Central research institute, Global Scientific Collaborations, United Imaging Healthcare, Central research institute, Glob...

Poster Presenter: Rajul Rastogi

Thumbnail for Artificial-Intelligence & Machine-Learning Based Models in evaluating Alzheimer's disease and its association with Diabetes Mellitus

168

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

Rajul Rastogi, Arjun Dhingra, Dharmesh Singh, Dileep Kumar

Poster Presenter: Rajul Rastogi

169

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

Christopher Sherlaw-Johnson, Stuti Bagri, Malina Bodea, Kevin Herbert, Angus Ramsay, Rachel Lawrence, Cyril Lobont, Holly Walton, Nadia Crellin, Holly Elphinstone, Pei Li Ng, Raj Mehta, Naom...

University of Cambridge, Nuffield Trust, UCL, Patient and public representative

Poster Presenter: Christopher Sherlaw-Johnson

171

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

Rashi Yadav, Sally Taylor , Daniel Welsh , Matthew Clarke, Sam Ingram , Alan McWilliam , Philip Whitehurst , Rachael Wooder, Marianne Anzar, Kathryn Banfill

NHS Fellowship in Clinical AI, The Christie NHS Trust, Division of Nursing Midwifery and Social Work, School of Health Sciences, Faculty of Biology, Medicine & Health, The University of Manchester, The Christie...

Poster Presenter: Rashi Yadav

173

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

Stefan Bunk

Vara

Poster Presenter: Stefan Bunk

174

A framework for validation and integration of Multi-Pathology AI outputs in real-world radiology reports

Carlos Schorlemmer, Christian Gottfried Völker, Ernest Montana

Unilabs, Unilabs TMC, Unilabs Norway

Poster Presenter: Carlos Schorlemmer

Thumbnail for Aesclepian Vision: - An Offline End-to-End Platform for Unified DICOM Acquisition, Archiving, and AI-Driven Paediatric MRI and CT Analysis with Modular, Clinically Integrated Workflows

176

Aesclepian Vision: - An Offline End-to-End Platform for Unified DICOM Acquisition, Archiving, and AI-Driven Paediatric MRI and CT Analysis with Modular, Clinically Integrated Workflows

Ramandeep Kang

Alder Hey Childrens Hospital

Poster Presenter: Ramandeep Kang

Posters

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

Machine-Learning MRI-based Model for papilledema detection

Machine Learning MRI-based model for early detection of knee osteoarthritis

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

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

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

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

A framework for validation and integration of Multi-Pathology AI outputs in real-world radiology reports

Aesclepian Vision: - An Offline End-to-End Platform for Unified DICOM Acquisition, Archiving, and AI-Driven Paediatric MRI and CT Analysis with Modular, Clinically Integrated Workflows

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