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Identifying life-threatening uveal melanoma: A directed application of general-purpose AI

Uveal melanoma (UM) is a rare but aggressive eye cancer, affecting approximately six people per million annually [1]. Uveal melanoma arises in three locations: the choroid, ciliary body, and iris. As the most common primary intraocular malignancy in adults, UM...

Using AI to generate and revise patient educational materials for retinopathy of prematurity

In this study, the authors compared the performance of three popular large learning models (LLMs) – ChatGPT3.5, ChatGPT4 and Gemini – in rewriting existent patient education materials on retinopathy of prematurity (RoP) to be more readable and accessible to patients,...

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...

Preparing to sit the FRCOphth Part 1 as a new FY1: A modern financial, educational and AI-enhanced study guide

One week into my first year as a doctor, buried under a mountain of ward jobs, night shifts and the sheer vertical learning curve of FY1, I decided to challenge myself further: I booked the FRCOphth Part 1 exam. The...

Quality and readability of English and Spanish patient educational materials generated by AI

This study evaluated the quality and readability of ChatGPT-generated patient educational materials for 4 common paediatric ophthalmology procedures, in both English and Spanish languages. Responses were compared to the American Association for Pediatric Ophthalmology and Strabismus (AAPOS) patient handouts. The...

Dr David Hoyle - ‘Demystifying AI: everything you wanted to know but were afraid to ask’

Dr David Hoyle, Senior Research Data Scientist and Senior Lecturer at the University of Manchester, delivers his talk ‘Demystifying AI: everything you wanted to know but were afraid to ask’ at the Eye News ‘AI and New Technology’ Symposium in...

A closed angle seldom comes alone

Case report An 89-year-old lady with dementia was referred to me out of hours by her GP with a few days history of an angry looking left eye for suspected elevated intraocular pressure (IOP). I discovered that this lady first...

Transforming eyecare with AI at 100% Optical

“We are drowning in people we need to see in hospital eye services, and some people are going blind as a result. We are looking at nearly 10m hospital appointments for ophthalmology a year, with an approximately 33% increase over...

New AI in ophthalmology resource goes live

The Royal College of Ophthalmologists has launched a new free resource, sharing and signposting artificial intelligence as medical device (AIaMD) tools for use in ophthalmology. The online AI directory is an evolving catalogue of AIaMD tools used in research or...

First medical AI model with globally representative data

Quest to build the first medical AI foundation model with globally representative data. A research consortium of over 100 study groups in more than 65 countries has launched the Global RETFound initiative, a collaborative effort to develop the first globally...

AI breakthrough in detecting leading cause of childhood blindness

An artificial intelligence (AI) tool could be an effective way of identifying retinopathy of prematurity (ROP), the leading cause of childhood blindness in middle-income countries, finds a new study led by UCL and Moorfields Eye Hospital researchers.