AI & Oculomics
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...
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...
Report on ‘2024: Artificial Intelligence and the Eye’
As the application of artificial intelligence (AI) is brought to the foray of clinical medicine, you can be forgiven for thinking that it is a relatively recent technology. However, researchers and computer scientists have been working on it for many...
A window to 2024 and beyond?
The connection between the eye and systemic diseases has been acknowledged for millenia. Historical records suggest that ancient civilisations had some understanding of the eye’s significance beyond its primary function in vision. For instance, in ancient Egypt, the ‘Eye of...
AI & Oculomics: a new section for Eye News
Inaugurating this new regular section on the exciting landscape of AI and oculomics, we provide an overview which delves into the historical context and the etymology of this field, reviews the current state of play and contemplates possibilities and hopes...