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Artificial intelligence in glaucoma: Assessing applications instead of technology

Much is said about the potential of artificial intelligence (AI) to transform clinical practice, particularly with the advent of foundation models [1]. The newest models are ‘pretrained’ on text, image, tabular and other forms of data to produce architectures that...

Simulating the visual impairment symptoms of age-related macular degeneration in virtual reality

A new virtual reality application visually simulates age-related macular degeneration and demonstrates its progression over time including some Charles Bonnet syndrome hallucinations. Introduction Age-related macular degeneration (AMD) is the leading cause of blindness in developed countries with the prevalence of...

Maximising the ocular surface prior to cataract surgery: The old and the new modalities of treatment

Cataract surgery is among the most commonly performed surgical procedures worldwide. Over time, it has evolved from a lens-extraction procedure into a refractive intervention that demands meticulous perioperative planning and precision to achieve optimal outcomes. Optimisation of the ocular surface...

General purpose AI: Transitioning from high performance in highly curated settings to useful applications in ophthalmology

Artificial intelligence (AI) may be understood as the ability of machines to perform tasks which otherwise require human perception, reasoning, or learning. With the advent of deep learning, AI has achieved remarkable results across a wide range of medical tasks...

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