AI-based Oculomics – Driving a revolution in preventative healthcare

AI-based Oculomics is a groundbreaking science that enables us to analyse patients’ high-quality retinal images to gain a unique insight into the body’s future health. By feeding vast amounts of retinal data to our machine learning algorithms, the AI is trained to recognise even the most subtle indicators of systemic health issues. As a world-renowned expert in developing AI systems in ophthalmology, Optain’s Chief Medical Officer, Professor Mingguang He, is changing the landscape of clinical assessment with the early detection of age-related, preventable, life-impacting diseases. With healthcare systems worldwide grappling with ageing populations and the rising prevalence of chronic diseases, AI-based Oculomics is the game changer, putting more accurate, non-invasive, cost-effective, and reliable disease screening within reach of millions. Together, we’re driving a new era of better health and equity worldwide.

Scientific papers

Peer-reviewed and published.

Optain’s technology is backed by first-class research published in leading academic journals and peer-reviewed by world-renowned experts in AI, ophthalmology, and retinal imaging.

nAMD
Development and validation of a deep-learning algorithm for the detection of neovascular age-related macular degeneration (AMD) from color fundus photographs

Diabetic retinopathy
An Automated Grading System for Detection of Vision-Threatening Referable Diabetic Retinopathy on the Basis of Color Fundus Photographs

Glaucoma
Efficacy of a Deep Learning System for Detecting Glaucomatous Optic Neuropathy Based on Color Fundus Photographs

Cardiovascular disease
A Deep Learning System for Fully Automated Retinal Vessel Measurement in High Throughput Image Analysis