Insight Health Data Research Hub

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Insight Health Data Research Hub INSIGHT is the world's largest ophthalmic bio-resource of eye images linked to clinical data.

By enabling secure and trusted research access to anonymised data, INSIGHT serves to improve healthcare for the benefit of patients and wider society.

Thank you to all the patients and staff who stopped by today at Moorfields Eye Hospital to learn how routinely collected...
08/10/2026

Thank you to all the patients and staff who stopped by today at Moorfields Eye Hospital to learn how routinely collected eye imaging data is enabling research into new treatments and care through INSIGHT.

We are also grateful to the Friends of Moorfields team who set the scene and provided valuable eye health information.

To mark   this Thursday 8th October, the INSIGHT team is hosting a health data research pop-up event at Moorfields Eye H...
06/10/2026

To mark this Thursday 8th October, the INSIGHT team is hosting a health data research pop-up event at Moorfields Eye Hospital.

Time: 1:30-4:30pm
Place: Moorfields Eye Hospital, main entrance, next to Friends of Moorfields Health Information Hub. 162 City Rd, London. EC1V 2PD

Patients, staff, members of the public, and researchers are invited to stop by and find out firsthand how routinely collected eye imaging data is helping to advance earlier detection, treatment and care of disease. Colleagues from NIHR Biomedical Research Centre: Moorfields are hosting a morning session at the hub, followed by the INSIGHT takeover in the afternoon.

The pop-up is part of INSIGHT's ongoing Data Saves Sight campaign, informing patients how their eye health data is routinely collected, and may be anonymised for use in research. The campaign also highlights every patient's right to opt out of sharing their health data for research via the national opt-out.

Researchers from Moorfields and the Pearse Keane lab at UCL Institute of Ophthalmology will be on hand to share their work and answer questions.

For more on Data Saves Sight, visit our web page: https://lnkd.in/eTJi69_8

People with   (AF) have distinctive biomarkers in their retinas, evident as early as four years before clinical presenta...
15/09/2026

People with (AF) have distinctive biomarkers in their retinas, evident as early as four years before clinical presentation of the condition, confirms a new study published in PLOS Digital Health.

The research team analysed retinal imaging data from more than 90,000 people and discovered differences in the structure of the retina in people with AF, compared with those who do not have the condition.

Among patients who did not have AF when their retinal images were taken, those who went on to develop AF had thinner mGCIPL layers on average four years before presenting to hospital with the condition, even after accounting for age, s*x, ethnicity, hypertension, diabetes, smoking and alcohol use. This indicates that retinal changes may be detectable before a clinical diagnosis of AF is made, at a stage when the condition has no symptoms.

Adding to the growing field of , the research was led by Josef Huemer and Siegfried Wagner at Moorfields Eye Hospital and UCL Institute of Ophthalmology with Kelsey Stuart, Yukun Zhou, Dominic Williamson, Peter Woodward-Court, Alastair Mobley, Arvind Chandratheva, Florian Berger, Nay Aung, Steffen Petersen, Professor Anthony Khawaja, Axel Petzold, Jugnoo Rahi, Alastair Denniston, Dipak Kotecha, Pearse Keane,
Praveen Patel.

The work was supported by Moorfields Eye Charity, NIHR Biomedical Research Centre: Moorfields, NIHR Biomedical Research Centre: UCLH, NIHR Biomedical Research Centre: GOSH, NIHR Biomedical Research Centre: Barts, NIHR Biomedical Research Centre: Birmingham, and enabled by INSIGHT Eye Hub.

An AI-enabled eye screening initiative is preventing blindness in isolated parts of southern Bangladesh, where most peop...
03/08/2026

An AI-enabled eye screening initiative is preventing blindness in isolated parts of southern Bangladesh, where most people have never been seen by an optometrist or ophthalmologist.

Through the outreach programme, trained field staff take mobile eye clinics to remote island populations, equipped with portable colour fundus imaging devices and an AI system for identifying sight-threatening eye conditions such as diabetic retinopathy. It was built using RETFound, the open-source AI foundation model for retinal and systemic disease detection developed in the lab of Pearse Keane at UCL Institute of Ophthalmology, Moorfields Eye Hospital, supported by INSIGHT.

The pilot project is a community-led partnership of clinicians, data scientists and NGOs, conceived by Hasib Rahman of Data Yakka and Randall Stafford of Stanford University. Using RETFound, the team in Bangladesh fine-tuned an AI tool using local data, with guidance from Pearse's lab.

Read the full story 🔗

An artificial intelligence (AI) eye screening initiative, built on open-source technology developed at University College London and Moorfields Eye Hospital NHS Foundation Trust, is bringing essential eye care to isolated island communities in southern Bangladesh

Diseases affecting the front of the eye (anterior segment), including cataract, keratoconus, and loss of corneal transpa...
25/06/2026

Diseases affecting the front of the eye (anterior segment), including cataract, keratoconus, and loss of corneal transparency, are leading causes of blindness globally, yet fewer than 10% of ophthalmic imaging datasets include them.

In response, researchers at Moorfields Eye Hospital and UCL Institute of Ophthalmology have developed CADMUS, the world's most comprehensive anterior segment dataset.

CADMUS contains nearly 1 million images linked to clinical records from 22,482 patients attending routine appointments at Moorfields. The anonymised, longitudinal dataset was built through the INSIGHT hub at Moorfields, and is being made accessible to the research community to accelerate research.

The work was led by Dr Shafi Balal and Professor Bruce Allan, supported by National Institute for Health and Care Research, NIHR Biomedical Research Centre: Moorfields, The European Society of Cataract and Refractive Surgeons (ESCRS), and T.F.C. Frost Charitable Trust.

CADMUS was developed in collaboration with Zaid Alsafi, Marcello Leucci, Pearse Keane Daniel Gore, Nikolas Pontikos

Thanks to support from NIHR and Moorfields Eye Charity CADMUS is already being used to train the first AI foundation model for the anterior segment, with potential for identifying systemic conditions.

Read more about CADMUS and researcher access: 🔗 https://www.insight.hdrhub.org/post/landmark-dataset-to-accelerate-research-on-anterior-segment-eye-disease

Friends of Moorfields

BBC News Arabic journalist Somaya Bryant recently interviewed INSIGHT director Pearse Keane for a feature on the directi...
11/06/2026

BBC News Arabic journalist Somaya Bryant recently interviewed INSIGHT director Pearse Keane for a feature on the direction of artificial medical intelligence. The reporting includes perspectives on AI development and adoption in the Middle East. An English translation has kindly been provided by the author.

Read the feature in English:
https://www.insight.hdrhub.org/post/bbc-arabic-on-how-how-ai-is-revolutionising-healthcare

View the original article on BBC News عربي https://www.bbc.com/arabic/articles/cwy2nvq111go

Moorfields Eye Hospital, UCL Institute of Ophthalmology

بدأت تقنيات الذكاء الاصطناعي بالفعل في إحداث تحولات كبيرة في مجال الرعاية الصحية في مختلف أنحاء العالم، بما في ذلك المنطقة العربية. لكن الخبراء ينبهون إلى ضرورة وجو...

Thank you to the incredible Friends of Moorfields volunteers who make such a positive difference to the experience of pa...
02/06/2026

Thank you to the incredible Friends of Moorfields volunteers who make such a positive difference to the experience of patients visiting Moorfields Eye Hospital 👏

Our colleagues in outback Western Australia are using AI as a clinical tool to stop people going blind from diabetic ret...
20/05/2026

Our colleagues in outback Western Australia are using AI as a clinical tool to stop people going blind from diabetic retinopathy (DR). This is a region where residents may have to travel up to 3,000 km to reach a medical centre. Instead, a mobile AI screening service goes to people in remote areas, helping them to get diagnosed and treated sooner.

Led by Angus Turner with Mark Chia at Australian non-profit organisation Lions Outback Vision, the breakthrough medical AI service was developed in collaboration with First Nations Australians, who are disproportionately affected by DR.

The project was delivered with technology partners Google and Topcon Healthcare, supported by Pearse Keane's lab at UCL Institute of Ophthalmology and the INSIGHT Hub at Moorfields Eye Hospital.

Read how the work evolved 🔗https://www.insight.hdrhub.org/post/novel-ai-system-tackles-eye-health-inequalities-in-outback-australia

Watch the video to find out about the project's impact ⬇️ https://youtu.be/h_W9dZjdii0?si=-GuCqdPGeSTfaNFb

Join in Broome, Western Australia, as he meets with eye...

What can we expect from the next wave of medical AI? Writing for the College of Optometrists, journalist Helen Bird expl...
19/05/2026

What can we expect from the next wave of medical AI? Writing for the College of Optometrists, journalist Helen Bird explores how and multiomics could shape the future of eye care.

The feature investigates how linkages between eye data and other biological data such as genomics are advancing the role of ocular biomarkers in unlocking complex biological systems - informed by interviews with oculomics pioneer Pearse Keane and Professor Anthony Khawaja of Moorfields Eye Hospital UCL Institute of Ophthalmology, INSIGHT, Cascader.

Read the article 🔗
https://www.insight.hdrhub.org/post/oculomics-multiomics-and-the-future-of-eye-health

Reproduced with kind permission of the editors of Acuity.

Next Wednesday 20th May, the National AI Commission is holding an online session to answer questions from the public on ...
11/05/2026

Next Wednesday 20th May, the National AI Commission is holding an online session to answer questions from the public on the regulation of AI in healthcare ⬇️

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EC1V2PD

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