Optical coherence tomography (OCT) has revolutionised the diagnosis and management of a broad spectrum of retinal disorders through its non-invasive, high-resolution cross-sectional imaging. By ...

Models that are code-free were able to perform as accurately as expert-designed bespoke models when classifying retinal pathologies. AI has been developed for ophthalmology by using imaging data in ...

In this interview, industry expert Dr. Yifan Jian discusses advancements in ultrawide-field optical coherence tomography (OCT), challenges in retinal imaging, AI’s role in biophotonics, and the future ...

In a new study, researchers combined OCT retinal imaging, genetics and big data to estimate how likely a person is to develop eye and systemic diseases in the future. They found significant ...

This story is part of a series on the current progression in Regenerative Medicine. This piece is part of a series dedicated to the eye and improvements in restoring vision. In 1999, I defined ...

AI Retinal Imaging and Alzheimer’s Detection. AI retinal imaging could help identify adults needing Alzheimer’s disease referral in primary care settings. AI retinal imaging i ...

Distinct retinal vessel atrophy patterns may be associated with multiple sclerosis (MS), but further research is needed to assess retinal vessel changes and their underlying role in MS. Changes in the ...

Please provide your email address to receive an email when new articles are posted on . Altris AI analyzes OCT images to aid in the early diagnosis of glaucoma. The cloud-based platform can help ...

Regular eye exams are important in detecting early signs of diabetic retinopathy to prevent vision loss. Since diabetic retinopathy doesn’t cause symptoms in its early stages, diagnostic testing can ...