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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...

Evolving towards an interventional glaucoma mindset

Traditionally, a newly diagnosed glaucoma patient would be treated first with medical therapy. As the disease progressed or the initial intervention failed to adequately control intraocular pressure (IOP), clinicians would add more drops, selective laser trabeculoplasty (SLT), repeated SLT and...

Robotic assisted orbital surgery (RAOS) – a novel approach to orbital malignancy surgery

Robotic technology in ENT surgery has been used in certain areas of head and neck cancer care but, in this article, we hear of an exciting development from the team at Guy’s & St Thomas’. Advances in surgical robotic technology...

Large language models in ophthalmology

Traditional artificial intelligence (AI) models typically require large amounts of labelled data for training. For example, to develop a model capable of detecting macular pathologies on optical coherence tomography scans, thousands of scans would need to be manually labelled by...

Investigation into the anatomical differences of eyelashes between Caucasian and Indian specimens

This study investigated the anatomy of human eyelashes through analysis of root depth, angle, and spatial relationship. Four eyelids from Caucasian donors were obtained from fresh donors and four eyelids from Indian donors were obtained from eye bank calls. The...

The Eye Health Network – an ‘optometry-first’ approach to eye care

Historically, in NHS Grampian, ophthalmology and optometry worked separately, with even the process of optometry referral to hospital occurring only at the behest of the patient’s general practitioner (GP). Criteria for referral were not discussed and feedback after referral was...

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...

RCOphth Annual Congress - Day 2

Follow all the key updates from the RCOphth Annual Congress 2022, live.

Practice tips: Directions in cataract surgery services and preventing postcataract endophthalmitis

Future directions in the delivery of high quality cataract surgery services and approved intracameral prophylactic approaches to lowering the risk of postcataract infective endophthalmitis were debated by consultant ophthalmic surgeons in a recent London seminar, held at the Royal Society...

From the Editors: Back in the habit!

Recently I spoke at an ophthalmic conference in London. It was amazing to be back amongst friends and colleagues in person again, to learn and share with one another. I also took the opportunity to stay on for a few...

Novel retinal pigment metric tackles bias in AI models

Researchers have developed an innovative metric for objectively classifying pigmentation in a retinal image, rather than using subjective social constructs like ethnicity or other demographic variables, as is currently the case when building health datasets. Called the Retinal Pigment Score...

Topcon Healthcare Launches IDHea™ to Fuel AI and Digital Health Innovation from the Eye

Topcon Healthcare, Inc., a global leader in robotic diagnostics and digital health solutions, announced the launch of the Institute of Digital Health (IDHea™), an ocular data-as-a-service platform designed to accelerate AI research and digital health innovation. IDHea provides fast and...