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Four key questions and answers for glaucoma practitioners
In this discussion paper the authors pose four questions for the clinician diagnosing and monitoring glaucoma, and supply evidence-based answers. Worldwide, the most common functional test used to diagnose and monitor glaucoma is static automated perimetry, most typically with a...
Endoscopic Surgery of the Orbit: Anatomy, Pathology, and Management
Endoscopic surgery still remains a challenge for many oculoplastic surgeons, whose main scope of work has traditionally been open surgery. The learning curve for endoscopic surgery is quite steep and this approach requires skills that needs to be well trained,...What can artificial intelligence do to improve sustainability in the delivery of ophthalmic care?
The 2025 NHS 10-year plan, titled ‘Fit for the Future’, emphasises a significant shift from analogue to digital, with a strong focus on integrating AI and other technologies to transform healthcare. The plan aims to make the NHS the "most...Results from two eye tests suggest that vision is a battle of the sexes
The research was developed by Contact Lenses UK to explore the nation's eye health, by analysing participants ‘colour vision’ and ‘perception’.‘Let’s place focus on Scotland’s vast innovation opportunities during National Eye Health Week’
National Eye Health Week (NEHW) could provide essential inspiration for NHS Scotland staff looking to focus on fresh ophthalmic innovation, says InnoScot Health. This year's NEHW is taking place from 23 to 29 September under an inclusive theme of ‘Vision...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...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...
