mecImpactReport 2022 v1.7 lr pages - Flipbook - Page 21
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AI and macular degeneration
Dr Edward Korot worked with Professor Pearse
Keane, using AI deep learning to classify clinical
images of the eyes of patients with age-related
macular degeneration (AMD) and other common
retinal diseases. Dr Korot and Professor Keane
have also worked directly with Google Cloud
and provided feedback on new features for the
platforms so that other researchers will have
access to robust and explainable automated
machine learning platforms for medical AI.
Dr Korot’s Nature Medicine Intelligence
publication from this work highlights the
potential of applying automated AI in the clinic.
This would reduce the need for clinicians to
develop computer programming skills, and
Professor Pearse Keane
enable them to develop their own models
without coding.
Findings from this research have already led
to three recent publications in the journals
of Lancet Digital Health, Nature Machine
Intelligence, and Scientific Reports [5].
This research has the potential to open the floodgates
to all the clinicians who would like to design their own AI
models but can’t. Since those clinicians know the problems
which need to be addressed, like where patients have
barriers to care, and where patients stand to benefit with
earlier and more accurate diagnosis, shorter wait times,
and through more efficient triage.
Dr Edward Korot
What’s next
Dr Korot’s research and AI has the potential to increase the accuracy of diagnoses, and develop
more treatments. It will enable clinicians without extensive computational expertise or resources
to not only train their own machine learning models, but also make sense of them.
›Charity funded PhD student Phillipa Harding presented some
of her work on cellular models made from cells donated by
patients with microphthalmia (small eyes) and aniridia.
›26 project summaries were considered by the charity
with Dr Victoria Tovell receiving a prize for conveying her
research in a clear and accessible manner to a lay audience
›The charity supported the recognition awards for best
presentation, poster and lay audience project summary.
We believe it’s important
to support early career
researchers to develop
their careers and ideas
which will impact on future
advances in eye health.