Resources
Here you will find resources related to the INSIGHT Health Data Research Hub, including factsheets to download, videos and podcasts, and links to external sites related to data and eye health. For researchers, there are also links to academic papers from members of the INSIGHT team.
On this page
Other pages in this section
Resources for patients and the general public
Factsheets
Coming soon
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INSIGHT governance and the Data Trust Advisory Board
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Research using INSIGHT data
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The new science of ‘oculomics’
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INSIGHT’s diverse datasets: Birmingham and London
Videos
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ALICE: how machine learning works
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A Gateway from Health Data to Health Discovery (HDR UK YouTube channel)
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INSIGHT Health Data Research Hub for Eye Health (HDR UK YouTube channel)
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Pearse Keane | Realising patient and NHS benefits from health and care data (HDR UK YouTube channel)
Blogs and opinions from the INSIGHT team
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Experts warn of risk of ‘data poverty’ if data underpinning AI health technologies is not representative and inclusive (Health Data Research UK website, 1 October 2020)
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Insights into the future of eye care (Ophthalmology Times Europe Journal, 29 July 2020)
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How using data from ‘everyday encounters’ could be the most powerful tool we have to help improve people’s lives (Health Data Research UK website, 19 December 2019)
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National Eye Health Week! Meet the Hubs: INSIGHT - The Health Data Research Hub for Eye Health (Health Data Research UK website, 24 September 2019)
Podcasts
External links
INSIGHT is part of Health Data Research UK (HDR UK). Here are some useful links to their websites:
Eye health
If you are looking for information about eye health, the following links may help. You can also find comprehensive information about a wide range of eye conditions on the main NHS website.
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Information about eye conditions from Moorfields Eye Hospital
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Patient information leaflets from University Hospitals Birmingham
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Top ten sight loss and vision priorities established by the James Lind Alliance Priority Setting Partnerships
Resources for researchers
Here we list a selection of academic papers and research projects from the INSIGHT team and others that apply advanced analytics, including ariticial intelligence, to various eye health data. All links are to external sites.
A list of papers related specifically to INSIGHT can be found on the HDR Innovation Gateway
Retinal disease
Some recent research using Artificial Intelligence and machine learning:
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Predicting wet age-related macular degeneration (AMD) using DARC (detecting apoptosing retinal cells) AI (artificial intelligence) technology (paper published December 2020)
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OCT-based deep learning algorithm for the evaluation of treatment indication with anti-vascular endothelial growth factor medications (paper published January 2018)
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Prediction of Causative Genes in Inherited Retinal Disorders from Spectral-Domain Optical Coherence Tomography Utilizing Deep Learning Techniques (paper published April 2019)
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Fully automated detection of retinal disorders by image-based deep learning (paper published January 2019)
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Eye2Gene - a web app to assist genetic diagnosis of inherited retinal disease with artificial intelligence
(project led by Nikolas Pontikos of UCL Institute of Ophthalmology and Moorfields Eye Hospital Reading Centre)
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Using AI in new ways to investigate retinal diseases (project funded by Moorfields Eye Charity project from October 2019)
Diabetic retinopathy
Here are some recent examples of research using eye datasets to investigate the effectiveness of current treatments and the potential for new screening techniques powered by artificial intelligence:
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An open-source data set of anti-VEGF therapy in diabetic macular oedema patients over 4 years and their visual acuity outcomes (paper published June 2020)
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Health Economic and Safety Considerations for Artificial Intelligence Applications in Diabetic Retinopathy Screening (paper published April 2020)
Alzheimer’s
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Insights into Systemic Disease through Retinal Imaging-Based Oculomics (paper published April 2020)
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Artificial intelligence and machine learning for Alzheimer’s disease: let’s not forget about the retina (paper published January 2021)
Glaucoma
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A CNN-aided method to predict glaucoma progression using DARC (Detection of Apoptosing Retinal Cells) (paper published May 2020)
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Artificial Intelligence Algorithms to Diagnose Glaucoma and Detect Glaucoma Progression: Translation to Clinical Practice (paper published November 2020)
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The potential application of artificial intelligence for diagnosis and management of glaucoma in adults (paper published June 2020)
Cataracts
Personalised medicine
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‘Delivering personalized medicine in retinal care: from artificial intelligence algorithms to clinical application’ (paper published September 2020)
Health data poverty
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‘A Global Review of Publicly Available Datasets for Ophthalmic Imaging: Recognising Barriers to Access, Usability and Generalisability’ (paper published October 2020)
Covid-19