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Study to slow short-sightedness in young adults
The University of Bradford is spearheading a study into the progression of short-sightedness among young adults, aiming to tackle one of the fastest-growing global eye health challenges. The research on short-sightedness, also known as myopia, among people aged in their...What can artificial intelligence do to improve sustainability in the delivery of ophthalmic care?
The 2025 NHS 10-year plan, titled ‘Fit for the Future’, emphasises a significant shift from analogue to digital, with a strong focus on integrating AI and other technologies to transform healthcare. The plan aims to make the NHS the "most...Neuro-ophthalmology: the extended role of an orthoptist
Neuro-ophthalmology has always been a speciality of interest during my studies and now in my career. In 2018, I started a Band 7 post which gave me an extended role in neuro-ophthalmology and the responsibility of developing an orthoptic led...Visually impaired secret shoppers put fringe accessibility to the test
Visually impaired secret shoppers are going undercover at Edinburgh Festival Fringe venues to put accessibility to the test, assessing whether training and awareness work are translating into a better experience for disabled audiences. The volunteers, who have helped deliver accessibility...Robotic assisted orbital surgery (RAOS) – a novel approach to orbital malignancy surgery
Robotic technology in ENT surgery has been used in certain areas of head and neck cancer care but, in this article, we hear of an exciting development from the team at Guy’s & St Thomas’. Advances in surgical robotic technology...Evolving towards an interventional glaucoma mindset
Traditionally, a newly diagnosed glaucoma patient would be treated first with medical therapy. As the disease progressed or the initial intervention failed to adequately control intraocular pressure (IOP), clinicians would add more drops, selective laser trabeculoplasty (SLT), repeated SLT and...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...The Eye Health Network – an ‘optometry-first’ approach to eye care
Historically, in NHS Grampian, ophthalmology and optometry worked separately, with even the process of optometry referral to hospital occurring only at the behest of the patient’s general practitioner (GP). Criteria for referral were not discussed and feedback after referral was...ChatGPT cannot pass FRCOphth examinations: implications for ophthalmology and large language model artificial intelligence
Large language models are generating a lot of hype for artificial intelligence, but can they assist patients and practitioners in ophthalmology? Introduction Deep learning (DL) has emerged in ophthalmology as an exciting form of artificial intelligence (AI) most commonly applied...RCOphth Annual Congress - Day 2
Follow all the key updates from the RCOphth Annual Congress 2022, live.
