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Author Details

Xiaoxuan Liu
University Hospitals Birmingham NHS Foundation Trust
2014
68
22
PMIDPaper TitleJournal TitlePublished Year
36931697Fundus topographical distribution patterns of ocular toxoplasmosis.Br J Ophthalmol2024
35197261Quantitative and qualitative assessment of anterior segment optical coherence tomography capture of disease state in childhood anterior uveitis.Br J Ophthalmol2023
35412855Measuring Inflammation in the Vitreous and Retina: A Narrative Review.Ocul Immunol Inflamm2023
37164459Diagnostic performance of deep learning in infectious keratitis: a systematic review and meta-analysis protocol.BMJ Open2023
37395705Reliability of Optical Coherence Tomography Angiography Retinal Blood Flow Analyses.Transl Vis Sci Technol2023
36646804PRISMA AI reporting guidelines for systematic reviews and meta-analyses on AI in healthcare.Nat Med2023
36932161Evaluating patient-reported outcome measures (PROMs) for future clinical trials in adult patients with optic neuritis.Eye (Lond)2023
36828609Embedding patient-reported outcomes at the heart of artificial intelligence health-care technologies.Lancet Digit Health2023
36828608The role of patient-reported outcome measures in trials of artificial intelligence health technologies: a systematic evaluation of ClinicalTrials.gov records (1997-2022).Lancet Digit Health2023
33021418Noninvasive Instrument-based Tests for Detecting and Measuring Vitreous Inflammation in Uveitis: A Systematic Review.Ocul Immunol Inflamm2022
35585198Reporting guideline for the early-stage clinical evaluation of decision support systems driven by artificial intelligence: DECIDE-AI.Nat Med2022
35584845Reporting guideline for the early stage clinical evaluation of decision support systems driven by artificial intelligence: DECIDE-AI.BMJ2022
35396183The medical algorithmic audit.Lancet Digit Health2022
35416614Opportunities and Risks of UK Medical Device Reform.Ther Innov Regul Sci2022
36063293Evaluating patient-reported outcome measures (PROMs) for clinical trials and clinical practice in adult patients with uveitis or scleritis: a systematic review.J Ophthalmic Inflamm Infect2022
36029662Triazole-derivatized near-infrared cyanine dyes enable local functional fluorescent imaging of ocular inflammation.Biosens Bioelectron2022
36163296Tackling bias in AI health datasets through the STANDING Together initiative.Nat Med2022
34982094OCT Assisted Quantification of Vitreous Inflammation in Uveitis.Transl Vis Sci Technol2022
35337640Building an evidence standards framework for artificial intelligence-enabled digital health technologies.Lancet Digit Health2022
35296488AlzEye: longitudinal record-level linkage of ophthalmic imaging and hospital admissions of 353â¿¿157 patients in London, UK.BMJ Open2022
35105593Teleophthalmology-enabled and artificial intelligence-ready referral pathway for community optometry referrals of retinal disease (HERMES): a Cluster Randomised Superiority Trial with a linked Diagnostic Accuracy Study-HERMES study report 1-study protocol.BMJ Open2022
34772649Characteristics of publicly available skin cancer image datasets: a systematic review.Lancet Digit Health2022
32255392Non-invasive Instrument-Based Tests for Quantifying Anterior Chamber Flare in Uveitis: A Systematic Review.Ocul Immunol Inflamm2021
33766511Raising the Bar for Randomized Trials Involving Artificial Intelligence: The SPIRIT-Artificial Intelligence and CONSORT-Artificial Intelligence Guidelines.J Invest Dermatol2021
33678589Health data poverty: an assailable barrier to equitable digital health care.Lancet Digit Health2021
33735069A global review of publicly available datasets for ophthalmological imaging: barriers to access, usability, and generalisability.Lancet Digit Health2021
33558619Automated quantification of posterior vitreous inflammation: optical coherence tomography scan number requirements.Sci Rep2021
34441449Stability of OCT and OCTA in the Intensive Therapy Unit Setting.Diagnostics (Basel)2021
34729675Machine Learning for Health: Algorithm Auditing & Quality Control.J Med Syst2021
34635854A quality assessment tool for artificial intelligence-centered diagnostic test accuracy studies: QUADAS-AI.Nat Med2021
34183345Developing a reporting guideline for artificial intelligence-centred diagnostic test accuracy studies: the STARD-AI protocol.BMJ Open2021
33986429Predicting sex from retinal fundus photographs using automated deep learning.Sci Rep2021
34062542Structural Endpoints and Outcome Measures in Uveitis.Ophthalmologica2021
33956386Reporting guidelines for artificial intelligence in healthcare research.Clin Exp Ophthalmol2021
34139439Development and application of the ocular immune-mediated inflammatory diseases ontology enhanced with synonyms from online patient support forum conversation.Comput Biol Med2021
33407780Reporting guidelines for clinical trials of artificial intelligence interventions: the SPIRIT-AI and CONSORT-AI guidelines.Trials2021
32976696Imaging-Based Uveitis Surveillance in Juvenile Idiopathic Arthritis: Feasibility, Acceptability, and Diagnostic Performance.Arthritis Rheumatol2021
30821566The Uveitis Patient Passport: A Self-Care Tool.Ocul Immunol Inflamm2020
31666709Comment on: 'Quantification of anterior chamber reaction after intravitreal injections of conbercept and ranibizumab: a pilot study'.Eye (Lond)2020
33328049Guidelines for clinical trial protocols for interventions involving artificial intelligence: the SPIRIT-AI extension.Lancet Digit Health2020
33328048Reporting guidelines for clinical trial reports for interventions involving artificial intelligence: the CONSORT-AI extension.Lancet Digit Health2020
32606111Bilateral acute anterior uveitis and iris atrophy caused by moxifloxacin.BMJ Case Rep2020
32909959Reporting guidelines for clinical trial reports for interventions involving artificial intelligence: the CONSORT-AI Extension.BMJ2020
32908801Merging Information From Infrared and Autofluorescence Fundus Images for Monitoring of Chorioretinal Atrophic Lesions.Transl Vis Sci Technol2020
32908284Guidelines for clinical trial protocols for interventions involving artificial intelligence: the SPIRIT-AI extension.Nat Med2020
32908283Reporting guidelines for clinical trial reports for interventions involving artificial intelligence: the CONSORT-AI extension.Nat Med2020
32907797Guidelines for clinical trial protocols for interventions involving artificial intelligence: the SPIRIT-AI Extension.BMJ2020
32704413A Clinician's Guide to Artificial Intelligence: How to Critically Appraise Machine Learning Studies.Transl Vis Sci Technol2020
32704412Insights into Systemic Disease through Retinal Imaging-Based Oculomics.Transl Vis Sci Technol2020
32900377Going on up to the SPIRIT in AI: will new reporting guidelines for clinical trials of AI interventions improve their rigour?BMC Med2020
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Collaborators

Alastair K Denniston
University Hospitals Birmingham NHS Foundation Trust
Co-authored papers 60
Pearse A Keane
Moorfields Eye Hospital NHS Foundation Trust
Co-authored papers 24
Livia Faes
Eye Clinic, Cantonal Hospital of Lucerne
Co-authored papers 12
Konstantinos Balaskas
University of Manchester
Co-authored papers 8
Samantha Cruz Rivera
Institute of Applied Health Research, University of Birmingham
Co-authored papers 8
Siegfried K Wagner
Institute of Ophthalmology, University College London
Co-authored papers 8
Melanie Calvert
Institute of Applied Health Research, University of Birmingham
Co-authored papers 8
Viknesh Sounderajah
Imperial College NHS Healthcare Trust
Co-authored papers 7
Giovanni Montesano
University of London
Co-authored papers 7
David P Crabb
University of London
Co-authored papers 6
Gary S Collins
University of Oxford
Co-authored papers 5
Hutan Ashrafian
Imperial College Healthcare NHS Foundation Trust
Co-authored papers 5
Bilal A Mateen
Institute for Health Informatics, University College London
Co-authored papers 5
Edward Korot
Stanford University Byers Eye Institute Palo Alto
Co-authored papers 5
Melissa D McCradden
University of Adelaide
Co-authored papers 5
Daniel S W Ting
Singapore Eye Research Institute
Co-authored papers 5
Ara Darzi
Imperial College London
Co-authored papers 5
An-Wen Chan
8 Women's College Research Institute, University of Toronto
Co-authored papers 5
David Moher
University of Ottawa
Co-authored papers 5
Felix Greaves
School of Public Health, Imperial College London
Co-authored papers 4
Nikolas Pontikos
Moorfields Eye Hospital, UK UCL Institute of Ophthalmology, University College London
Co-authored papers 4
Dun Jack Fu
Research Centre, Moorfields Eye Hospital NHS Foundation Trust
Co-authored papers 4
Johan Ordish
PHG Foundation, University of Cambridge
Co-authored papers 4
Alan Karthikesalingam
Google Health.
Co-authored papers 4
Eric J Topol
Universidade Federal de Sao Paulo
Co-authored papers 3
Patrick M M Bossuyt
University of Amsterdam
Co-authored papers 3
Dawn A Sim
Institute of Ophthalmology, University College London
Co-authored papers 3
Sheraz R Markar
University of Oxford
Co-authored papers 3
Matthew D F McInnes
Ottawa Hospital Research Institute Clinical Epidemiology Program
Co-authored papers 3
Marzyeh Ghassemi
3Vector Institute
Co-authored papers 3
Release 1.2