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Through the bubble: A patient’s perspective on macula hole surgery pre- and postoperatively

The evolution of ophthalmic surgical practice over the past seven decades has been extraordinary. Within this period, the first vitrectomy was performed, establishing a foundation for what is now an operation performed thousands of times per year in the UK...

Prognostic AI for diabetic retinopathy: Towards the first prospective trial in the UK

Artificial intelligence (AI) is frequently described as having the capacity to dramatically change and improve healthcare. One extensively studied application of AI in ophthalmology involves the diagnosis of diabetic retinopathy (DR) or diabetic maculopathy (DM) using retinal imaging. An emerging...

Deliberate darkness: The systematic weaponisation of blinding in global protests

As eyecare professionals, we spend our entire professional lives fighting to preserve light. We train to master the delicate microscopic topography of the cornea, the retina and the optic nerve, all with the objective of saving our patients from the...

Large language models in ophthalmology

Traditional artificial intelligence (AI) models typically require large amounts of labelled data for training. For example, to develop a model capable of detecting macular pathologies on optical coherence tomography scans, thousands of scans would need to be manually labelled by...

AI & Oculomics: a new section for Eye News

Inaugurating this new regular section on the exciting landscape of AI and oculomics, we provide an overview which delves into the historical context and the etymology of this field, reviews the current state of play and contemplates possibilities and hopes...