AI & Oculomics
Artificial intelligence and oculomics: Improving global health
The application of artificial intelligence (AI), and in particular deep learning, to high-resolution ocular imaging has led to many new discoveries, enabling the prediction of multiple different systemic diseases from ocular biomarkers. This emerging field is known as ‘oculomics’ [1]....
Identifying life-threatening uveal melanoma: A directed application of general-purpose AI
Uveal melanoma (UM) is a rare but aggressive eye cancer, affecting approximately six people per million annually [1]. Uveal melanoma arises in three locations: the choroid, ciliary body, and iris. As the most common primary intraocular malignancy in adults, UM...
Redefining healthcare through the eyes
The future of healthcare is being shaped by innovation in eyecare and in particular a field known as oculomics. This discipline leverages ocular biomarkers to provide insights into various health conditions, including cardiovascular diseases and psychological or neurological disorders [1]....
Strengthening the signal: Advancing oculomics research for systemic health insights
Oculomics, the study of how ocular structure reflects systemic health, is poised to become an integral tool for predicting, triaging, and diagnosing a wide range of diseases. By analysing data from the eye, particularly the retina, healthcare providers can gain...
