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Mastering clinical skills in ophthalmology

To young junior doctors, and some senior doctors who may not have had much exposure to ophthalmology, the specialty can seem very foreign. Not only are the conditions and examination findings specific to the eyes, but the skill set required...

75th Anniversary year of the first intraocular lens implant

The 29th of November 2024 marks the 75th anniversary of the first intraocular lens implant by our Founder, Sir Harold Ridley FRS. The United Kingdom & Ireland Society of Cataract & Refractive Surgeons (UKISCRS) is marking the event with a...

Life in the glaucoma laboratory

When people ask me what life in the laboratory is really like, I often pause. On one hand, it is the romantic notion of pushing back the boundaries of science with the daily rhythm of experiments, data and easily obtained...

The Sickle Cell Retinopathy Network is leading global change in screening and management

Sickle cell disease or disorder (SCD) is one of the most neglected health conditions in the world. A strong hypothesis is that this is because SCD affects people of African, Caribbean and other Global Majority communities and has received disproportionately...

In conversation with John Forrester

What made you choose ophthalmology as a career and how did your interest in academia develop? During Medical School at Glasgow University, I was getting progressively disillusioned with the career options while my colleagues and friends all seemed to quickly...

From the seas to OCTs, a journey from working in TV to creating teaching in ophthalmology

To relaunch our Allied Professionals section, Paul Dimmock from Gloucestershire discusses his unique role with the Gloucestershire Retinal Education Group. In Gloucestershire we have a collection of ophthalmic-targeted departments led by Professor Peter Scanlon, Clinical Director of the NHS Diabetic...

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...

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...