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My Top Five: Debunking common myths in ophthalmology and vision care

29 August 2024 | | EYE - General
In the field of eye health, numerous misconceptions persist. Let’s examine five prevalent myths and uncover the truth behind them. Myth 1: Wearing glasses weakens your eyesight Origin: This myth likely originated from the observation that people often need stronger...

My Top Five: Emerging alternatives to manage and treat nAMD

3 April 2024 | | EYE - General
Wet (exudative or neovascular) age-related macular degeneration (AMD) is characterised by choroidal neovascularisation, in which new blood vessels from the choroid invade through Bruch’s membrane. These blood vessels proliferate beneath or through the retinal pigment epithelium (RPE), causing patients to...

Only fools and doctors

2 April 2025 | | EYE - General
“Alright, this is where our future lies Rodney. Second hand motors. This time next year we’ll be millionaires.” The above is the well-known quote by the happy-go-lucky Del Boy from the famous British sitcom, Only Fools and Horses, forever on...

Identifying life-threatening uveal melanoma: A directed application of general-purpose AI

2 April 2025 | | EYE - Imaging, EYE - Oncology
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...

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

3 February 2026 | | EYE - Imaging, EYE - Vitreo-Retinal
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...

Empowering primary care patients registered blind or partially sighted

3 June 2026 | | EYE - General
With two million people in the UK living with visual impairment [1], being able to provide equitable and effective communication to this group of patients is essential in primary care. Yet, as highlighted by research conducted by Sight Loss Councils,...

Collaborative care: The advanced practitioner in paediatric ophthalmology

5 August 2026 | | EYE - Paediatrics
In response to the increasing paediatric workforce shortage the landscape of paediatric ophthalmology is shifting [1]. As we face a striking surge in demand accompanied by increasingly complex patient profiles, alternative models of care are beginning to evolve. The advanced...

Enhancing ophthalmology training: Unleashing the power of simulation

2 August 2024 | | EYE - General
Ethical and practical barriers hinder early surgical experience in ophthalmology training [1], which is problematic when early-career trainees bring a higher risk of poor surgical outcomes and patient harm [2]. The European working time directive and the surgical backlog secondary...

The role of spectral-domain OCT RNFL in revealing a pituitary adenoma with atypical visual fields

3 April 2026 | | EYE - Imaging, EYE - Neuro-ophthalmology
Pituitary adenomas classically cause bitemporal hemianopia by compressing the optic chiasm. However, in some cases, the pattern of visual field loss may be atypical and mimic homonymous hemianopia, depending on the direction and extent of tumour expansion. Spectral-domain optical coherence...

175 years of Ernst Fuchs: The man behind the eponyms

5 August 2026 | | EYE - General
14 June 2026 marked 175 years since the birth of Professor Ernst Fuchs: a teacher, writer, pathologist and one of the great founders of modern ophthalmology, whose name echoes through clinics, exams and theatres worldwide to this day. Most doctors...

Building data infrastructure for eye research in the NHS: Real-world lessons from the Liverpool Eye Data Platform

1 June 2026 | | EYE - Imaging, EYE - Vitreo-Retinal
The Liverpool Eye Data Platform demonstrates how governance-compliant infrastructure can bring together routinely-collected, siloed NHS eye data. Routine care delivered across the NHS generates vast amounts of clinical data within a healthcare system that is uniquely characterised by comprehensive population...

Large language models in ophthalmology

3 October 2024 | | EYE - General
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...