AI in Diagnosing Eye Disease
October 16, 2018 | Terry Sharrer
In a collaboration between Google’s DeepMind Health, University College London, and the Moorefield Eye Hospital, researchers carried out 7,500 eye scans for a data set that then could be turned to diagnosing common eye disease—as accurately as an ophthalmologist. As described in this piece, “. . . the data is 3D scans of patients’ eyes made using a technique known as optical coherence tomography, or OCT. Creating these scans takes around 10 minutes and involves bouncing near-infrared light off of the interior surfaces of the eye. Doing so creates a 3D image of the tissue, which is a common way to assess eye health. OCT scans are a crucial medical tool, as early identification of eye disease often saves the patient’s sight.” MORE
Image Credit: University College London and The Verge