Our software is a clinically-validated convolutional neural network that has been trained using over 200,000 real-world cases including various ethnicities to detects signs of glaucoma, age-related macular degeneration and diabetic retinopathy from colour fundus photographs with an accuracy of 95%. The software utilises existing practice hardware, fits into existing workflow and shows results in seconds. It’s just like having a second opinion from your own in-house ophthalmologist, helping you make better clinical decisions to provide the highest level of patient care. Developed by world-leading ophthalmologic experts in conjunction with CERA (Centre for Eye Research Australia) and Monash University, the software has been 7 years in the making supported by several government research grants. The accuracy data and validation has been published by collaborators in prestigious journals.
