Conor Judge

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Senior Lecturer in Applied Clinical Data Analytics

Ollscoil na Gaillimhe – University of Galway

Ireland

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About

Dr. Conor Judge is a Senior Lecturer in Applied Clinical Data Analytics at Ollscoil na Gaillimhe – University of Galway, Ireland. His research primarily focuses on the intersection of artificial intelligence and clinical decision-making, with recent publications addressing topics such as stroke classification, dementia outcomes related to lipid therapy, and the integration of generative AI in medical settings. Dr. Judge also explores innovative methodologies in clinical trials and the assessment of AI tools in healthcare.

Recent Grants

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Wellcome – Health Research Board Irish Clinical Academic Training Programme

Open Date: 2018-09-01

Close Date: 2025-08-31

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Collaborators (16)

Paula M. O’Shea

IRELAND

Conor Judge

Research Interests

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About

Recent Grants

Articles (20)

Association of lipid-lowering therapy with dementia and cognitive outcomes: a systematic review and meta-analysis

Cultivating Innovative, Pragmatic, Randomized Controlled Registry Trials Embedded in Hemodialysis Care: Conference Proceeding From Gardener’s Grove 2023

Discrimination of Ischemic versus Hemorrhagic Stroke type by Presenting Symptoms or Signs

Harmonizing foundation models in healthcare: A comprehensive survey of their roles, relationships, and impact in artificial intelligence’s advancing terrain

Assessments of Generative Artificial Intelligence as Clinical Decision Support Ought to be Incorporated Into Randomized Controlled Trials of Electronic Alerts for Acute Kidney Injury

Multimodal Artificial Intelligence in Medicine

A pilot feasibility study comparing large language models in extracting key information from ICU patient text records from an Irish population

Association of Vascular Risk With Severe vs Non-Severe Stroke: An Analysis of the INTERSTROKE Study

BERT-Based Deep Learning for Classification of IgA Nephropathy, Diabetes, and Hypertension from Clinical Notes

Bias assessment and correction for Levin’s population attributable fraction in the presence of confounding

Dietary counselling to reduce moderate sodium intake: effects on cardiovascular and renal biomarkers: primary findings of the COSIP and STICK phase II feasibility randomised controlled trials

Sleep Patterns and the Risk of Acute Stroke

Population attributable fraction of hypertension for dementia: global, regional, and national estimates for 186 countries

Depressive Symptoms and Risk of Acute Stroke

Effect of a Run-In Period on Estimated Treatment Effects in Cardiovascular Randomized Clinical Trials: A Meta-Analytic Review

The association between ambient UVB dose and ANCA-associated vasculitis relapse and onset.

Association of Psychosocial Stress With Risk of Acute Stroke.

Association of Lipids, Lipoproteins, and Apolipoproteins with Stroke Subtypes in an International Case Control Study (INTERSTROKE)

Role of Proxy Respondents in International Stroke Research: Experience of the INTERSTROKE Study

Effect of a Run‐In Period on Estimated Treatment Effects in Cardiovascular Randomized Clinical Trials: A Meta‐Analytic Review

Collaborators (16)

Paula M. O’Shea

Arthur White

Lucy hederman

John D. Kelleher

Claire Kerins

Graeme Hankey

Michelle Canavan

Maria Costello

Alberto Alvarez-Iglesias

Salim Yusuf

Peter Conlon

Donal Sexton

Matthew Griffin

Stephanie Dixon

Martin O'Donnell

John Ferguson

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