Search

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 original smooth operator: Sir Robin Millar

As an early 80s kid, if you lacked sufficient pocket money, building a music collection entailed recording your favourite songs off the radio with a cassette deck and hoping the presenter didn’t interrupt at any point, with a finger hovering...

Troubleshooting in LASIK

Contemporary laser in situ keratomileusis (LASIK) is safe and effective. It remains the dominant intervention in routine refractive surgery for a good reason: predictable results, rapid visual recovery, and relatively simple strategies for revision treatment. Over 95% of patients are...

Intravitreal injections delivered by ophthalmic clinical nurse specialists

Intravitreal injections of the anti-vascular endothelial growth factor (anti-VEGF) agent ranibizumab, for the treatment of wet age-related macular degeneration (AMD) was approved by National Institute for Health & Care Excellence (NICE) in 2008 [1]. The Manchester Royal Eye Hospital (MREH),...

Part 2: the Arclight Device: frugal imaging for eyecare

In this three-part series (Click here for Part 1 and here for Part 3) Andrew Blaikie and his team explore the role and application of the Arclight Device in Imaging of the Eye. There are many different types of ophthalmic...

The next wave of AI in ophthalmology: From screening to communication

Artificial intelligence (AI) is reshaping ophthalmology, moving from research laboratories into everyday clinical care [1]. With its strong reliance on imaging and pattern recognition, ophthalmology is uniquely positioned to benefit from AI innovations. These developments range from autonomous disease screening...

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...

An update on inherited retinal disorders (part 2): Approaches to therapy for IRDs

Part 1 of this topic can be found here There are currently no proven cures for inherited retinal disease (IRD). However, multiple avenues of research are being investigated to better understand disease mechanisms and trial potential therapies that may slow...

Community Eyecare Services in Northern Ireland: putting the patient at the centre, improving outcomes and maximising system resource

The UK has four healthcare systems; Northern Ireland, Scotland and Wales each has autonomous legislature that develops health policy, while the UK government directly runs England’s NHS. Like the other nations, Northern Ireland is continually challenged to meet the needs...

Treating minor eye conditions in optometry practices: is this a viable model for the future?

The role of the optometrist has expanded in recent years as community eye care services have changed. With the limited scope of general ophthalmic services (GOS) regulations in most parts of the UK, the funding to support additional care has...

Developing community eye care: the evolution of Wales’ eye care services

In the third in our series about community eye care in the home nations, David O’Sullivan explains how Wales has developed its community eye care services. Since the devolution of healthcare to Wales on 1 July 1999 [1], significant changes...