Xiaoxuan Liu

University Hospitals Birmingham NHS Foundation Trust

United Kingdom

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Articles (22)

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Collaborators (16)

Marzyeh Ghassemi

Massachusetts Institute of Technology

UNITED STATES

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Jugnoo Rahi

Professor of Ophthalmic Epidemiology and Honorary Consultant Ophthalmologist

University College London

UNITED KINGDOM

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Richard D Riley

Professor of Biostatistics

University of Birmingham

UNITED KINGDOM

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Paula Dhiman

University of Oxford

UNITED KINGDOM

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James Bowness

University of St. Andrews

UNITED KINGDOM

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Jeffry Hogg

University of Birmingham

UNITED KINGDOM

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Justin Ko

Clinical Professor; Chief, Medical Dermatology; Associate Chair

Stanford University

UNITED STATES

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Dhruv Parekh

University of Birmingham

UNITED KINGDOM

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Ji Eun Diana Han

University of Birmingham

UNITED KINGDOM

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Su Golder

Associate Professor

University of York

UNITED KINGDOM

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Nikolas Pontikos

Principal Research Fellow (Associate Professor)

UCL Institute of Ophthalmology, University College London

UNITED KINGDOM

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Tariq Aslam

The University of Manchester

UNITED KINGDOM

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David Moore

University of Birmingham

UNITED KINGDOM

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Alastair K. Denniston

University Hospitals Birmingham NHS Foundation Trust

UNITED KINGDOM

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Patricia Logullo

University of Oxford

UNITED KINGDOM

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Ann Blandford

Professor of Human–Computer Interaction

University College London

UNITED KINGDOM

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Xiaoxuan Liu

Research Interests

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Articles (22)

Hidden risks of predictive models in healthcare

TRIPOD+AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods: a Korean translation

The STARD-AI reporting guideline for diagnostic accuracy studies using artificial intelligence

AI as a Medical Device Adverse Event Reporting in Regulatory Databases: Protocol for a Systematic Review

Detecting Algorithmic Errors and Patient Harms for AI-Enabled Medical Devices in Randomized Controlled Trials: Protocol for a Systematic Review

TRIPOD+AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods

Leading in the development, standardised evaluation, and adoption of artificial intelligence in clinical practice: regional anaesthesia as an example

Evolution of Future Medical AI Models — From Task-Specific, Disease-Centric to Universal Health

A Global Health Data Divide

AI as a Medical Device for Ophthalmic Imaging in Europe, Australia, and the United States: Protocol for a Systematic Scoping Review of Regulated Devices

Why We Support and Encourage the Use of Large Language Models in NEJM AI Submissions

An ethics assessment tool for artificial intelligence implementation in healthcare: CARE-AI

Quantitative and qualitative assessment of anterior segment optical coherence tomography capture of disease state in childhood anterior uveitis

Teleophthalmology-enabled and artificial intelligence-ready referral pathway for community optometry referrals of retinal disease (HERMES)

AlzEye: longitudinal record-level linkage of ophthalmic imaging and hospital admissions of 353 157 patients in London, UK

Ethics methods are required as part of reporting guidelines for artificial intelligence in healthcare

Noninvasive Instrument-based Tests for Detecting and Measuring Vitreous Inflammation in Uveitis: A Systematic Review

Reporting guidelines for artificial intelligence in healthcare research

Raising the Bar for Randomized Trials Involving Artificial Intelligence: The SPIRIT-Artificial Intelligence and CONSORT-Artificial Intelligence Guidelines.

Health data poverty: an assailable barrier to equitable digital health care.

Code-free deep learning for multi-modality medical image classification

Automated quantification of posterior vitreous inflammation: optical coherence tomography scan number requirements

Collaborators (16)

Marzyeh Ghassemi

Jugnoo Rahi

Richard D Riley

Paula Dhiman

James Bowness

Jeffry Hogg

Justin Ko

Dhruv Parekh

Ji Eun Diana Han

Su Golder

Nikolas Pontikos

Tariq Aslam

David Moore

Alastair K. Denniston

Patricia Logullo

Ann Blandford

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