AI power improves cataract test tool for babies
A device invented by an Addenbrooke's eye surgeon to detect cataract in babies is set to be further improved - thanks to artificial intelligence and a team effort with a Cambridgeshire product development consultancy.
The aim is that midwives will instantly be able to tell whether the photograph they take of a baby’s eye with an invention called Neocam is of high enough quality to make a diagnosis – or whether they simply need to take it again.
The additional functionality is being developed with the help of St Ives-based company 42 Technology (42T), where software engineers are using 46,000 de-identified images of babies’ eyes to train a machine learning model. The work is being progressed thanks partly to a new innovation grant from Addenbrooke’s Charitable Trust (ACT) and with generous support from 42T.
Addenbrooke’s consultant, paediatric ophthalmologist and Neocam inventor, Dr Louise Allen, said:
"The aim of Neocam is to make it easier for midwives to detect congenital cataracts in babies, which is the most common cause of preventable childhood blindness."
"In this latest development we are drawing on the power of AI, and experts in this field, to enhance Neocam and make it even easier and more reliable to use."
Dr Louise Allen
For full article visit: The development comes as Neocam, a handheld, non-invasive tool that draws on digital camera technology, is tested at maternity units across the UK as part of a trial called the Digital Imaging versus Ophthalmoscopy Study DIvO Study
For full article visit: CUH News
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