119 posters, 6 topics, 524 authors, 243 institutions

RCR Global AI Conference 2026

29-30 June, 2026 | QEII Centre, Westminster

Affiliations

Showing 6 results for affiliation "Mid & South Essex NHS trust".

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Thumbnail for <p>Clinician-Led Development of a PACS-Native AI and Reporting Pipeline for Neonatal Cranial Ultrasound in Hypoxic–Ischaemic Encephalopathy to overcome interobserver variability, time and resource constrains.</p>

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<p>Clinician-Led Development of a PACS-Native AI and Reporting Pipeline for Neonatal Cranial Ultrasound in Hypoxic–Ischaemic Encephalopathy to overcome interobserver variability, time and resource constrains.</p>

Robert English, Rayya Naffa', Shirou Mosoodi, Paige Miller, Sivakumar Manickam

Mid & South Essex NHS trust , Barts and the London, Mid And South Essex Foundation NHS Trust, North Hertfordshire Teaching NHS Trust, The Dudley Group NHS Foundation Trust

Poster Presenter: Robert English

Thumbnail for <p>Augmenting Emergency Imaging Decisions: Performance of a Custom Large-Language-Model Decision Support System for SHOs in Time-critical Medical Emergencies</p>

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<p>Augmenting Emergency Imaging Decisions: Performance of a Custom Large-Language-Model Decision Support System for SHOs in Time-critical Medical Emergencies</p>

Ebinesh Arulnathan, Praislin Gideon, Shirou Masoodi, Swetha Tula, Matthew Kueh, Rayya Naffa', Sivakumar Manickam , Mohammad Shoaib

RCR Global AI Conference 2026

Affiliations

<p>Clinician-Led Development of a PACS-Native AI and Reporting Pipeline for Neonatal Cranial Ultrasound in Hypoxic–Ischaemic Encephalopathy to overcome interobserver variability, time and resource constrains.</p>

<p>Augmenting Emergency Imaging Decisions: Performance of a Custom Large-Language-Model Decision Support System for SHOs in Time-critical Medical Emergencies</p>

<p>Teaching with Intelligence: A Governance-Led Framework for AI-Augmented MCQ Generation in FRCR Part 2a Preparation </p>

<p>AI- assisted question generation for FRCR Part 1 Physics: Evaluating the role of Multi model LLMs in High-stake Radiology Assessment Design</p>

<p>Elevating the UK as the Global Leader in Paediatric Radiology AI: A National Framework to Reduce Backlogs, Standardise Quality and Transform Children’s Imaging Services.</p>

<p>Training Minds for Machine Age Imaging: Medical Students’ Needs, Ethics, and Expectations for Safe AI Integration in Radiology</p>