Optical Coherence Tomography (OCT) is what is currently used to diagnose diabetic retinopathy and age-related macular degeneration. The problem with this digital scanning method is that it is highly complex and time-consuming for eye care professionals to analyze. This adds up to time lost in diagnosing and treating as early as possible.
Aware of this, Google's DeepMind health research is teaming up with Moorfields Eye Hospital in the UK to look into how machine learning (artificial intelligence) can help analyze OCT scans efficiently and adequately to detect these conditions earlier, thus lowering the incidence of patient deterioration due to delayed treatment.
Moorfields will share one million eye scans for the research that have had personal information removed so that the records are anonymous. You can learn more about the research here.*