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Perspective August 2024

Clinical Evaluation of Artificial Intelligence-Enabled Interventions

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H. D. Jeffry Hogg; Alexander P. L. Martindale; Xiaoxuan Liu; Alastair K. Denniston
TAGS: health, reporting guidelines, technology, intelligence
Invest. Ophthalmol. Vis. Sci.. 2024; 65(10):10. https://doi.org/10.1167/iovs.65.10.10

Retina July 2023

Reliability of Optical Coherence Tomography Angiography Retinal Blood Flow Analyses

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Ella F. Courtie; Ahmed Gilani; Nicholas Capewell; Aditya U. Kale; Benjamin T. K. Hui; Xiaoxuan Liu; Giovanni Montesano; Michel Teussink; Alastair K. Denniston; Tonny Veenith; Richard J. Blanch
TAGS: angiogram, eye, optical coherence tomography, reliability, vascular flow, perfusion
Trans. Vis. Sci. Tech.. 2023; 12(7):3. https://doi.org/10.1167/tvst.12.7.3

Includes: Supplemental Content

ARVO Annual Meeting Abstract June 2023

The relationship between retinal perfusion and systemic haemodynamic function in sepsis.

Ella Courtie; Ahmed Gilani; Donna Holding; Nicholas Capewell; Elinor Laws; Aditya Uday Kale; Benjamin Hui; Xiaoxuan Liu; Alastair K Denniston; Tonny Veenith; Richard J Blanch

Invest. Ophthalmol. Vis. Sci.. 2023; 64(8):2539.

ARVO Annual Meeting Abstract June 2022

Skeletonization reduces the reliability of OCTA retinal blood flow analyses.

Ella Courtie; Aditya Kale; Nicholas Capewell; Xiaoxuan Liu; Ahmed Gilani; Giovanni Montesano; Michel Teussink; Tonny Veenith; Alastair K Denniston; Richard J Blanch

Invest. Ophthalmol. Vis. Sci.. 2022; 63(7):2953 – F0106.

Articles January 2022

OCT Assisted Quantification of Vitreous Inflammation in Uveitis

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Xiaoxuan Liu; Aditya U. Kale; Giovanni Ometto; Giovanni Montesano; Alice J. Sitch; Nicholas Capewell; Charlotte Radovanovic; Nicholas Bucknall; Nicholas A. V. Beare; David J. Moore; Pearse A. Keane; David P. Crabb; Alastair K. Denniston
TAGS: corneal opacity, inflammation, uveitis, vitreous body, eye
Trans. Vis. Sci. Tech.. 2022; 11(1):3. https://doi.org/10.1167/tvst.11.1.3

Includes: Supplemental Content

ARVO Annual Meeting Abstract June 2021

Democratizing AI for DR: Automated Self-Training to Address Label Scarcity for Deep Learning in Diabetic Retinopathy Classification

Edward Korot; Mariana Batista Goncalves; Josef Christian Huemer; Hagar Khalid; Siegfried Wagner; Xiaoxuan Liu; Livia Faes; Alastair K Denniston; Pearse Keane

Invest. Ophthalmol. Vis. Sci.. 2021; 62(8):2132.

Articles August 2020

Merging Information From Infrared and Autofluorescence Fundus Images for Monitoring of Chorioretinal Atrophic Lesions

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Giovanni Ometto; Giovanni Montesano; Saman Sadeghi Afgeh; Georgios Lazaridis; Xiaoxuan Liu; Pearse A. Keane; David P. Crabb; Alastair K. Denniston
TAGS: atrophic condition of skin, autofluorescence, datasets, pixel
Trans. Vis. Sci. Tech.. 2020; 9(9):38. https://doi.org/10.1167/tvst.9.9.38

Includes: Multimedia, Supplemental Content

ARVO Annual Meeting Abstract June 2020

CONSORT-AI and SPIRIT-AI: New Reporting Guidelines for Clinical Trials and Trial Protocols for Artificial Intelligence Interventions

Xiaoxuan Liu; Samantha Cruz Rivera; Livia Faes; Pearse Andrew Keane; David Moher; Melanie Calvert; Alastair K Denniston

Invest. Ophthalmol. Vis. Sci.. 2020; 61(7):1617.

ARVO Annual Meeting Abstract June 2020

Development of a machine learning-guided computational ocular immune-mediated inflammatory disease ontology (ocIMIDo) and application to unstructured text in online patient fora for sentiment analysis

Tasanee Braithwaite; Samantha Pendleton; Xiaoxuan Liu; Rose Gilbert; Luke Slater; Andreas Karwath; Nicki Davis; Konrad Pesudovs; Georgios Gkoutos; Alastair K Denniston

Invest. Ophthalmol. Vis. Sci.. 2020; 61(7):2061.

ARVO Annual Meeting Abstract June 2020

OCT-based automated vitreous inflammation score: a promising biomarker in dexamethasone implant treated uveitis patients

Dominika Pohlmann; Jan Henrik Terheyden; Moritz Berger; Giovanni Ometto; Giovanni Montesano; Felicitas Neuber; Maximilian W.M. Wintergerst; Tariq Aslam; Xiaoxuan Liu; Frank G Holz; Pearse Andrew Keane; David P. Crabb; Alastair K Denniston; Robert Finger; Uwe Pleyer

Invest. Ophthalmol. Vis. Sci.. 2020; 61(7):3245.

ARVO Annual Meeting Abstract June 2020

OCT-assessed vitreous inflammation in uveitis patients treated with intravitreal dexamethasone implants

Jan Henrik Terheyden; Moritz Berger; Giovanni Ometto; Dominika Pohlmann; Giovanni Montesano; Magdalena Langner; Maximilian W.M. Wintergerst; Tariq Aslam; Xiaoxuan Liu; Frank G. Holz; Pearse Andrew Keane; David Paul Crabb; Uwe Pleyer; Alastair K Denniston; Robert Patrick Finger

Invest. Ophthalmol. Vis. Sci.. 2020; 61(7):3246.

ARVO Annual Meeting Abstract June 2020

AI building AI: Deep Learning Detection of Referable Diabetic Retinopathy Sans-coding

Edward Korot; Siegfried Wagner; Livia Faes; Dun Jack Fu; Xiaoxuan Liu; Daniel Ferraz; Hagar Khalid; Reena Chopra; Gabriella Moraes; Gongyu Zhang; Zeyu Guan; Konstantinos Balaskas; Pearse Andrew Keane

Invest. Ophthalmol. Vis. Sci.. 2020; 61(7):2025.

Special Issue February 2020

A Clinician's Guide to Artificial Intelligence: How to Critically Appraise Machine Learning Studies

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Livia Faes; Xiaoxuan Liu; Siegfried K. Wagner; Dun Jack Fu; Konstantinos Balaskas; Dawn A. Sim; Lucas M. Bachmann; Pearse A. Keane; Alastair K. Denniston
TAGS: artificial intelligence, datasets, machine learning
Trans. Vis. Sci. Tech.. 2020; 9(2):7. https://doi.org/10.1167/tvst.9.2.7

Special Issue February 2020

Insights into Systemic Disease through Retinal Imaging-Based Oculomics

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Siegfried K. Wagner; Dun Jack Fu; Livia Faes; Xiaoxuan Liu; Josef Huemer; Hagar Khalid; Daniel Ferraz; Edward Korot; Christopher Kelly; Konstantinos Balaskas; Alastair K. Denniston; Pearse A. Keane
TAGS: cardiovascular diseases, diagnostic imaging, eye, systemic disease, neurodegenerative disorders, dementia, datasets
Trans. Vis. Sci. Tech.. 2020; 9(2):6. https://doi.org/10.1167/tvst.9.2.6

Special Issue January 2020

Will AI Replace Ophthalmologists?

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Edward Korot; Siegfried K. Wagner; Livia Faes; Xiaoxuan Liu; Josef Huemer; Daniel Ferraz; Pearse A. Keane; Konstantinos Balaskas
TAGS: ophthalmologists
Trans. Vis. Sci. Tech.. 2020; 9(2):2. https://doi.org/10.1167/tvst.9.2.2

ARVO Annual Meeting Abstract July 2019

Test-retest Variability of Optical Coherence Tomography (OCT) and OCT Angiography in a Mobile OCT Module and level of Agreement with Conventional Table-top OCT

Xiaoxuan Liu; Aditya Kale; Benjamin Hui; Giovanni Montesano; Nicholas Capewell; Giovanni Ometto; Tonny Veenith; Pearse Andrew Keane; David Crabb; Susan Mollan; Richard J Blanch; Alastair K Denniston

Invest. Ophthalmol. Vis. Sci.. 2019; 60(9):1853.

ARVO Annual Meeting Abstract July 2019

OCT in Unconscious and Systemically Unwell Patients in the Critical Care Unit Using a Mobile OCT Device

Nicholas I Capewell; Xiaoxuan Liu; Aditya Kale; Nicholas Talbot; Tonny Veenith; Pearse Andrew Keane; Susan Mollan; Richard J Blanch; Alastair K Denniston

Invest. Ophthalmol. Vis. Sci.. 2019; 60(9):1281.

ARVO Annual Meeting Abstract July 2019

OCT characteristics associated with Bardet-Biedl syndrome (BBS) retinopathy

Rupal Morjaria; Hina Khan; Maha Said; Xiaoxuan Liu; Robert Carmichael; Nicholas Capewell; Kamron N Khan; Marie Tsaloumas; Helen Palmer; Denise Williams; Pearse Andrew Keane; Alastair K Denniston

Invest. Ophthalmol. Vis. Sci.. 2019; 60(9):1569.

Articles May 2019

ReLayer: a Free, Online Tool for Extracting Retinal Thickness From Cross-Platform OCT Images

PDF

Giovanni Ometto; Ismail Moghul; Giovanni Montesano; Andrew Hunter; Nikolas Pontikos; Pete R. Jones; Pearse A. Keane; Xiaoxuan Liu; Alastair K. Denniston; David P. Crabb
TAGS: clinicians, datasets, engineering, eye, software, research personnel, pixel, optical coherence tomography, reliability, reference standards
Trans. Vis. Sci. Tech.. 2019; 8(3):25. https://doi.org/10.1167/tvst.8.3.25

Includes: Supplemental Content

ARVO Annual Meeting Abstract July 2018

Rapid Visual Field Progression in Uveitic Glaucoma: Evidence From ‘Big Data’ Collected in Glaucoma Clinics in the United Kingdom

Xiaoxuan Liu; Stephen R Kelly; Robert John Barry; Susan R Bryan; Pearse Andrew Keane; Alastair K Denniston; David Crabb

Invest. Ophthalmol. Vis. Sci.. 2018; 59(9):1138.

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Clinical Evaluation of Artificial Intelligence-Enabled Interventions

Reliability of Optical Coherence Tomography Angiography Retinal Blood Flow Analyses

The relationship between retinal perfusion and systemic haemodynamic function in sepsis.

Skeletonization reduces the reliability of OCTA retinal blood flow analyses.

OCT Assisted Quantification of Vitreous Inflammation in Uveitis

Democratizing AI for DR: Automated Self-Training to Address Label Scarcity for Deep Learning in Diabetic Retinopathy Classification

Merging Information From Infrared and Autofluorescence Fundus Images for Monitoring of Chorioretinal Atrophic Lesions

CONSORT-AI and SPIRIT-AI: New Reporting Guidelines for Clinical Trials and Trial Protocols for Artificial Intelligence Interventions

Development of a machine learning-guided computational ocular immune-mediated inflammatory disease ontology (ocIMIDo) and application to unstructured text in online patient fora for sentiment analysis

OCT-based automated vitreous inflammation score: a promising biomarker in dexamethasone implant treated uveitis patients

OCT-assessed vitreous inflammation in uveitis patients treated with intravitreal dexamethasone implants

AI building AI: Deep Learning Detection of Referable Diabetic Retinopathy Sans-coding

A Clinician's Guide to Artificial Intelligence: How to Critically Appraise Machine Learning Studies

Insights into Systemic Disease through Retinal Imaging-Based Oculomics

Will AI Replace Ophthalmologists?

Test-retest Variability of Optical Coherence Tomography (OCT) and OCT Angiography in a Mobile OCT Module and level of Agreement with Conventional Table-top OCT

OCT in Unconscious and Systemically Unwell Patients in the Critical Care Unit Using a Mobile OCT Device

OCT characteristics associated with Bardet-Biedl syndrome (BBS) retinopathy

ReLayer: a Free, Online Tool for Extracting Retinal Thickness From Cross-Platform OCT Images

Rapid Visual Field Progression in Uveitic Glaucoma: Evidence From ‘Big Data’ Collected in Glaucoma Clinics in the United Kingdom

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