William Marsh

Senior Lecturer

Queen Mary University of London

United Kingdom

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William Marsh is a Senior Lecturer at Queen Mary University of London, UK. His research primarily focuses on the use of artificial intelligence in clinical decision support, chronic disease management, and musculoskeletal disorders. He has contributed to several studies that explore Bayesian network models, diagnostic accuracy in trauma patients, and the development of digital assessment tools in healthcare.

Articles (12)

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2025

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2025

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2024

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2024

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2024

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2022

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2022

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2022

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2022

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2021

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King’s College London

UNITED KINGDOM

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William Marsh

Research Interests

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About

Articles (12)

“It’s the future, come on!”: a think aloud study exploring clinicians’ use of knowledge-based AI decision support

Dynamic Bayesian network models for self-management of chronic diseases: Rheumatoid arthritis case-study

Evaluation of a Musculoskeletal Digital Assessment Routing Tool (DART): Crossover Noninferiority Randomized Pilot Trial

Identification of major hemorrhage in trauma patients in the prehospital setting: diagnostic accuracy and impact on outcome

Updating and recalibrating causal probabilistic models on a new target population

Assessing serious spinal pathology using Bayesian Network decision support: development and validation of a prototype tool (Preprint)

Usability Testing of a Digital Assessment Routing Tool for Musculoskeletal Disorders: Iterative, Convergent Mixed Methods Study

Authors' Response to Peer Reviews of “Using Structural Equation Modelling in Routine Clinical Data on Diabetes and Depression: Observational Cohort Study”

Using Structural Equation Modelling in Routine Clinical Data on Diabetes and Depression: Observational Cohort Study

Validation of a Musculoskeletal Digital Assessment Routing Tool: Protocol for a Pilot Randomized Crossover Noninferiority Trial

Usability Testing of a Digital Assessment Routing Tool: Protocol for an Iterative Convergent Mixed Methods Study

A Bayesian Network Decision Support Tool for Low Back Pain Using a RAND Appropriateness Procedure: Proposal and Internal Pilot Study

Collaborators (5)

Cabella Lowe

Paul Curzon

Mark Freestone

Dylan Morrissey

Amy Ronaldson

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