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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...

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...

Urban Changes and Rural Struggles for Ophthalmology in China

China is by far the most populated country in the world, with over 1.3 billion inhabitants. It is also the country with the highest number of blind and visually impaired people. As a developing country, half of China’s population lives...

Unconscious bias (part 2)

Does unconscious bias exist, and does training help to reduce discriminatory behaviour? Clare Inkster questions her role as a trainer. I read Gwyn Williams’ Learning Curve article on this topic a few months ago with interest, and as someone who...

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...

Strengthening the signal: Advancing oculomics research for systemic health insights

Oculomics, the study of how ocular structure reflects systemic health, is poised to become an integral tool for predicting, triaging, and diagnosing a wide range of diseases. By analysing data from the eye, particularly the retina, healthcare providers can gain...

The Global Vision Database

The overall goal of the Global Vision Database (GVD) [1] is to develop and deploy new and improved evidence on the prevalence of blindness and vision impairment (VI) globally. It is a repository which allows us to assess the causes...

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...