Can a machine predict who will lose vision from glaucoma before a specialist can? Dr Owen Siggs would like to think so.
The Flinders University researcher was awarded a Flinders Foundation Health Seed Grant to develop a collection of thousands of retinal images, captured before and after glaucoma diagnosis.
Using these images, Dr Siggs will develop and test a model to predict who is at greatest risk of developing glaucoma, with the aim of diagnosing the eye disease sooner to intervene and prevent irreversible blindness.
Approximately 1 in 30 Australians over the age of 50 will develop glaucoma.
The sooner we can diagnose glaucoma, the sooner we can intervene and prevent irreversible blindness.
Project title: Machine learning-based prediction of glaucoma conversion using optical coherence tomography.
Lead researcher: Dr Owen Siggs
Flinders Foundation acknowledges the Kaurna people as the traditional custodians of the land on which the Flinders precinct was established. We acknowledge the Kaurna people’s deep and ongoing connection to land, waters and community, and pay our respect to their Elders, past and present.