Data Science & Artificial Intelligence

Combining imaging with AI and informatics

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Ophthalmic reading centres provide a critical resource for facilitating imaging research in ophthalmology. Recent developments in computer vision and artificial intelligence have enabled a paradigm shift in the role of reading centres. Moorfields reading centre has developed a dedicated infrastructure to allow harnessing the potential of big data analytics, computer vision and machine learning.
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Featured projects Some of our latest AI projects

Learn more about some of the featured projects at the artificial intelligence and informatics hub

GAIA - Geographic Atrophy Intelligent Analytics

Our deep-learning algorithm, GAIA, performs fully-automated, b-scan-level segmentation, quantification, monitoring of progression and classification of Geographic Atrophy on Spectralis OCTs according to the Classification of Atrophy Meetings consensus definitions.
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NEO - Neovascular AMD and diabetic macular oedema model

Our NEO segmentation AI model automatically segments and monitors neo-vascular Age-related Macular Degeneration features such as subretinal and intraretinal fluid as well as subretinal hyper-reflective material and pigment epithelium detachment.
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STROMA - Layer segmentation model

Our layer segmentation AI algorith is able to automatically segment and monitor the 9 most prominent layers in the retina from an OCT scan.
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AlzEye is an unprecedented data linkage project linking >2 million retinal photos and scans of >250,000 people, who attended Moorfields Eye Hospital between 2008 and 2018 with nationally held data (NHS Digital) on people, who develop Alzheimer’s disease and other forms of dementia. Led by Dr Pearse Keane & Dr Siegfried Wagner, AlzEye provides a tailored unique dataset to explore patterns of retinal change associated with the development of dementia across a diverse population of varying ethnicity and socioeconomic status.
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Predictive analytics and intelligent treatment management

At the Moorfields Reading Centre & Clinical AI Lab, we are developing and integrating machine learning tools to utilise the curated data resource for addressing clinically interesting questions and produce new knowledge on disease diagnosis, prognosis and classification.
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