Abstract
Artificial intelligence (AI) training generally requires big datasets. This poses challenges for combination of AI with less common conditions, and processing of data acquired with bespoke instruments and new techniques. We present our progress on applying AI methods for retinal imaging of structure and function.
 Funding: Moorfields Eye Charity; NIHR BRC at Moorfields and UCL Institute of Ophthalmology