Artificial intelligence and oculomics: Improving global health
2 June 2025
| Charles Cleland, Elliott Taylor
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EYE - Imaging
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
4 February 2025
| Ashkan Eliasy
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EYE - Cornea, EYE - Imaging, EYE - Neuro-ophthalmology, EYE - General
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
4 December 2024
| Mertcan Sevgi, Siegfried Wagner
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EYE - Imaging
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...
