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‘The Way Forward’ champions clinicians as architects of patient-centred service redesign

The demographic time bomb poses the dilemma of how more healthcare can be delivered to the UK’s ageing population without commensurate growth in resources. The Way Forward Project provides a robust resource for clinical centres to better identify and implement...

Isolated trochlear (fourth cranial) nerve palsy in an Asian population

The authors report on 35 consecutive new cases of isolated fourth cranial nerve palsy seen over a period of six months in one neuro-ophthalmology clinic in Southeast Asia, with emphasis on their aetiology and management. We report on 35 patients...

How to examine the visual system Part 2: Accommodation, pupils, fundoscopy and additional tests

Examining the visual system can be a tricky skill for medical students to master, yet it is a task that is frequently tested in examinations. This is the second of a two-part series of articles, which together aim to improve...

A career in uveitis

As he retires from clinical practice, the author looks back on his long career in uveitis and how care of these patients has changed dramatically since his days as an undergraduate. My trainees and fellows are often bored by my...

Ocular manifestations of multiple sclerosis: an overview

Multiple sclerosis (MS) is an autoimmune demyelinating disease of the central nervous system (CNS), in which there is dissemination of lesions in time (two or more clinical events) and space (multiple lesions seen on brain and spinal imaging). The pathophysiology...

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...

Spotlight: The Community Eye Health Journal

In many low-income settings, where vision loss is greatest, eyecare is hampered by shortages in trained health workers. In sub-Saharan Africa, there are fewer than five ophthalmologists per million population, compared to over 70 per million in high-income countries. Eyecare...

Modern practice options for UK ophthalmologists

When I spoke on setting up private practice at the annual United Kingdom & Ireland Society of Cataract & Refractive Surgeons (UKISCRS) meeting in November ’23 there was a lot of interest in different types of practice models. If we...

In conversation with Charles Leclercq (ARxVision)

Julian Jackson (Founder and Director, VisionBridge) spoke to Charles Leclercq (CEO, ARx) about the ARxVision, a wearable device that captures the world around us through audio and artificial intelligence to empower blind and low-vision individuals. You can read the Eye...

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...