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DR-NET National DR Workshop in Tanzania: Policy, training and technology

Diabetic retinopathy (DR) is a leading cause of moderate to severe visual impairment (VI) and blindness worldwide, posing a significant public health challenge. As the prevalence of diabetes continues to rise globally, particularly in low- and middle-income countries (LMICs), the...

Developing eye health services in Malawi: a personal reflection

Dr Chinsisi Namate reflects on her first two years as a consultant ophthalmologist at the eye unit at Zomba Central Hospital, and how she has already successfully expanded eyecare services for southeast Malawi. The Lions Sight First Eye Hospital in...

Post-stroke visual impairment: how big is the problem, how do we identify it, what we can do about it, and why does it matter?

In the UK, 100,000 new strokes occur each year, with 1.3 million stroke survivors [1]. This article will focus on post-stroke visual impairment, discussing topics of how common it is, how it can be detected, possible management options and how...

Artificial intelligence in eyecare: how do we ensure new technologies truly benefit our patients?

From monitoring patients with heart disease to improving the early diagnosis of cancer, artificial intelligence (AI) using deep learning techniques is already employed in many different healthcare specialties [1]. In the eyecare field, AI technologies have been used to analyse...

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...