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What to expect when meeting a statistician

There are a growing number of statisticians working closely with ophthalmologists. They have different training but they are driven by the same goal: to perform high quality evidence based clinical research [1,2]. In a perfect world we would simply conduct...

Valuable resources for FRCOphth Part 1 exam preparation

The FRCOphth Part 1 exam is a difficult exam with an average pass rate of 46% in the last year. It is a requirement before entry into the third year of ophthalmology specialty training (OST). Passing this exam during foundation...

Exploiting nature’s randomised trials of eye disease

Confounding and reverse causation in observational ophthalmic epidemiology Traditional observational studies are inherently limited in establishing a causal effect of an exposure on an outcome of interest. One fundamental limitation is confounding, whereby causation is incorrectly attributed to a third...

Glaucoma-NET: a novel way of improving glaucoma management in sub-Saharan Africa

Background Glaucoma is the second most common cause of blindness worldwide [1]. People with untreated glaucoma suffer from irreversible, progressive loss of sight. The disease is characterised by progressive loss of visual field, with pathological cupping of the optic disc...

Troubleshooting in LASIK

Contemporary laser in situ keratomileusis (LASIK) is safe and effective. It remains the dominant intervention in routine refractive surgery for a good reason: predictable results, rapid visual recovery, and relatively simple strategies for revision treatment. Over 95% of patients are...

Patient and public participation shapes biomedical research and access priorities in eye health

Patients, clinicians and clinician-scientists play a valuable role in shaping the future of vision research. Limited funding demands targeted research initiatives that ultimately will shape health policy and practice to secure progress in improving patient outcomes in eye health. This...

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...