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IN FOCUS - The achievements and lasting effects of VISION 2020

Blindness is a major public health problem globally. The first estimate of global blindness by the World Health Organization (WHO) in 1972 provided a figure of 10 to 15 million, which was considered an underestimate [1]. In 1999, an extraordinary...

Reflections on a twelve-year partnership: The Makassar-Dundee LINK

In the first article of a two-part series (see Part 2 here), the authors provide an overview of this hugely successful partnership and how they overcame the challenges of COVID-19. What began in 2008 as a connection between equals, has...

More sensitive visual acuity test for age-related macular degeneration

Age-related macular degeneration (AMD) is the leading cause of blindness in the developed world. Primarily associated with ageing, genetic factors and lifestyle choices such as smoking also play a contributory role. Patients with early AMD, characterised by the development of...

Shifting the paradigm of managing patients in medical retina: how real-world data can help us to improve clinical practice

The ophthalmic subspecialty of ‘medical retina’ has undergone dramatic changes in recent years. With the introduction of ranibizumab (Lucentis, Novartis), a specialty formerly dominated by laser-based therapies has been transformed to become, in large part, pharmacotherapy-based. To date, these pharmacotherapies...

Diary from my elective: a Parisian experience

The author explains how a research institute’s dedication to multidisciplinary collaboration helped him to discover a passion for academic ophthalmology. The elective aspect to the final year of a medical degree, through its change of scenery and immersion into another...

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...

General purpose AI: Transitioning from high performance in highly curated settings to useful applications in ophthalmology

Artificial intelligence (AI) may be understood as the ability of machines to perform tasks which otherwise require human perception, reasoning, or learning. With the advent of deep learning, AI has achieved remarkable results across a wide range of medical tasks...