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 ...

Why it matters: Advanced retinal imaging allows earlier detection of diseases like diabetic retinopathy and AMD, often before symptoms appear, supporting preventative care. Tools of the trade: ...

Optometric care has advanced significantly with OCT and high-resolution retinal imaging, yet clinicians still encounter a ...

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 ...

Researchers at the National Eye Institute (NEI), part of the US National Institutes of Health, have applied a particular artificial intelligence approach to OCT imaging of the retina. The research, ...

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 ...

Optical coherence tomography (OCT) is a type of noninvasive imaging test. Ophthalmologists use OCT to create high-resolution, cross-sectional images of the inside of a person’s eye. OCT can help an ...

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 ...

Sharon Fekrat MD, FACS, FASRS, discusses the future of retinal scans as a screening and risk stratification tool in neurology ...