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Coming to terms with AI

A machine might be called intelligent if its response to questions could convince a person that it was human, a test proposed by Alan Turing in 1950 [1]. The author considers potential applications of artificial intelligence (AI) using machine learning...

Regulatory approval for the use of AI as a medical device

A study led by researchers at Moorfields Eye Hospital and UCL Institute of Ophthalmology examined 36 ‘artificial intelligence as a medical device’ tools approved by regulators in Australia, Europe and the US, identifying that 19% had no published peer-reviewed data...

Insights on medical AI for ophthalmology: an update on current perspectives

Artificial intelligence (AI) has immense promise for revolutionising medical practice. Generative AI is a form of AI in which algorithms are trained on datasets that can be used to generate new content, such as text, images or video based on...

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...

AI-Based devices in national screening programmes: barriers and challenges

Diabetic retinopathy (DR) may have long-term complications and is recorded as a leading cause of blindness. National DR screening programmes have effectively reduced severe visual loss by timely detection and subsequent treatment of sight-threatening proliferative DR and diabetic macular oedema....

Heidelberg Engineering Celebrates Eye2Gene™ AI Breakthrough in Precision Ophthalmology

Heidelberg Engineering proudly announces a significant advance in the use of artificial intelligence for ophthalmic diagnostics, with the publication of the Eye2Gene™ study in Nature Machine Intelligence. Titled “Next-generation phenotyping of inherited retinal diseases from multimodal imaging with Eye2Gene”, the...

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...

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...

Dr David Hoyle - ‘Demystifying AI: everything you wanted to know but were afraid to ask’

Dr David Hoyle, Senior Research Data Scientist and Senior Lecturer at the University of Manchester, delivers his talk ‘Demystifying AI: everything you wanted to know but were afraid to ask’ at the Eye News ‘AI and New Technology’ Symposium in...

A closed angle seldom comes alone

Case report An 89-year-old lady with dementia was referred to me out of hours by her GP with a few days history of an angry looking left eye for suspected elevated intraocular pressure (IOP). I discovered that this lady first...

Transforming eyecare with AI at 100% Optical

“We are drowning in people we need to see in hospital eye services, and some people are going blind as a result. We are looking at nearly 10m hospital appointments for ophthalmology a year, with an approximately 33% increase over...