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Shifting the paradigm of managing patients in medical retina: how real-world data can help us to improve clinical practice
The ophthalmic subspecialty of ‘medical retina’ has undergone dramatic changes in recent years. With the introduction of ranibizumab (Lucentis, Novartis), a specialty formerly dominated by laser-based therapies has been transformed to become, in large part, pharmacotherapy-based. To date, these pharmacotherapies...Diary from my elective: a Parisian experience
The author explains how a research institute’s dedication to multidisciplinary collaboration helped him to discover a passion for academic ophthalmology. The elective aspect to the final year of a medical degree, through its change of scenery and immersion into another...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...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...Sustainability in eyecare: Intraocular gases and the climate emergency
In 2020 the NHS became the first national health system to commit to delivering ‘net zero’ carbon emissions by 2040. The author investigates how the impact of ophthalmic surgery can be reduced. Medical gases have been used in ophthalmic surgery...
