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Working smarter not harder: How to transform eyecare delivery in the United Kingdom (part 1)

Are we doing enough to meet the current demands on ophthalmic services? In part one of a two-part series (see Part 2 here), Rosalind Harrison takes a look at how efficiency has been improved in eyecare services in the US....

Code-Free Deep Learning: a step into the future of ophthalmology

A new focus has arisen within the research domain of artificial intelligence (AI) in healthcare called code-free deep learning (CFDL), and recent research demonstrates that ophthalmology is becoming one of the leading specialties in this field. Artificial intelligence (AI) is...

Cataract incidence rates in patients from the UK suffering with diabetes mellitus

The authors summarise the main findings from a recent study which investigated the incidence rates of cataract in patients with or without diabetes mellitus (DM). Background to the study Worldwide, the World Health Organization (WHO) estimates that 253 million people...

Insights from the ‘Rb-NET Challenges’ Session: Evolving approaches in global retinoblastoma management

The Retinoblastoma Network (Rb-NET) Multidisciplinary Team (MDT) platform, developed by the London School of Hygiene & Tropical Medicine (LSHTM) and Professor Ido Didi Fabian, is a web-based telemedicine initiative that regularly hosts virtual MDT meetings focused on the evaluation and...

Pituitary tumours: why are they so often missed?

Part 2: Clinical varieties, anatomical considerations and case report (see also Part 1 and Part 3) For ophthalmologists there are four types of pituitary tumour to be considered, three of which are named according to the hormone secreted, along with...