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Ebinesh Arulnathan | Researcher profile | ResearchHub

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Ebinesh Arulnathan

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Researcher profile

Ebinesh Arulnathan

ResearchHub researcher

7

Publications

0

Citations

0

H-index

0

Recent H-index

2

Reads

0

Followers

Overview Research Publications Projects Datasets Questions Impact Network Activity

Overview

Research identity

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Not available

Education

Not available

Research

Research outputs

Public works are drawn from admitted ResearchHub scholarly records.

Publications

Selected public works

Search public worksYearWork typeSort works

7 of 7 listed works

Exports contain available public metadata for the works currently shown.

AI-assisted question generation for FRCR Part 1 Physics: evaluating the role of multi-model LLMs in high-stake radiology assessment design

The Royal College of Radiologists Open · 2026 · journal-article

0 citations · 0 reads

Augmenting emergency imaging decisions: performance of a custom large language-model decision-support system for SHOs in time-critical medical emergencies

The Royal College of Radiologists Open · 2026 · journal-article

0 citations · 1 reads

Building the AI-ready radiologist: curriculum design, challenges and opportunities

The Royal College of Radiologists Open · 2026 · journal-article

0 citations · 0 reads

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

The Royal College of Radiologists Open · 2026 · journal-article

0 citations · 0 reads

Integrating an LLM-based tool into emergency CT workflow: enhancing trainee vetting and protocolling in the NHS

The Royal College of Radiologists Open · 2026 · journal-article

0 citations · 0 reads

Teaching with intelligence: a governance-led framework for AI-augmented MCQ generation in FRCR Part 2a preparation

The Royal College of Radiologists Open · 2026 · journal-article

0 citations · 0 reads

Training minds for machine-age imaging: medical students’ needs, ethics and expectations for safe AI integration in radiology

The Royal College of Radiologists Open · 2026 · journal-article

0 citations · 1 reads

Projects

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Impact

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Publications: 7
Citations: 0
H-index: 0
Recent H-index: 0
Reads: 2

H-index follows the standard Hirsch definition: the largest h for which h publications each have at least h citations. Recent H-index applies the same calculation to the five most recent complete calendar years (2021-2025); the current year is excluded while incomplete.

Affiliations

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Not available

Identifiers

Scholarly links

Not available

Network

Research network

0 followers

Public network totals only

Activity

Recent activity

Not available

Recognition

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Not available