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 ...

The new technology provides a better tool to evaluate age-related macular degeneration and other retinal diseases. Another day, another reminder that artificial intelligence in healthcare is gathering ...

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, ...

Researchers applied artificial intelligence (AI) to a technique that produces high-resolution images of cells in the eye. They report that with AI, imaging is 100 times faster and improves image ...

An AI segmentation system was able to identify changes in retinal segmented features based on optical coherence tomography (OCT) images. Diagnosing and monitoring retinal diseases is done through OCT, ...

Researchers have developed an AI tool that makes retinal imaging 100 times faster. Retinal diseases are one of the leading causes of blindness; however, imaging cells in the retina in detail can be ...

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 ...

Thought LeadersDr. Yifan JianAssociate ProfessorOregon Health and Science University In this interview, industry expert Dr. Yifan Jian discusses advancements in ultrawide-field optical coherence ...

Mass Eye and Ear physician-researchers show that retinal imaging can help predict a person’s risk of developing ocular, neuropsychiatric, cardiac, metabolic, and pulmonary diseases. The team also ...