Deep learning using fundus and optical coherence tomography imaging may identify mental disorders during routine eye exams.

A combination of routine eye scans and AI has created a powerful new way of measuring nearsightedness to better predict ...

Dr. Yifan Jian explores the evolution of OCT, challenges in retinal imaging, and AI's potential in biophotonics, shaping the future of ophthalmic diagnostics.

Poor retinal health in midlife is associated with increased risk for Alzheimer’s disease and related dementias later on, suggesting retinal imaging as a tool for dementia screening.

Indeed, AI-enabled retinal imaging-based disease prediction models have been developed for neuropsychiatric disorders such as schizophrenia, cognitive decline, and cardiovascular disease.

Researchers have conducted one of the largest eye studies in the world to reveal new insights into retinal thickness, highlighting its potential in the early detection of diseases like type 2 ...

AI Optics, an AI-enabled medical device company, has received FDA 510(k) clearance for its Sentinel Camera. The handheld retinal imaging system captures high-quality images of the human eye, helping ...

What conditions can it detect? Your doctor or optometrist can use retinal imaging to detect various conditions. Some only affect your eyes, and others link to conditions that affect your whole body.

Our new imaging technique, DSFN, has the potential to aids quick and accurate diagnosis of retinal disorders. It also has the potential to be used for other medical conditions that require ...

Artificial intelligence now helps overcome a key limitation of imaging cells in the retina, which is time." A particular hurdle for AI to tackle is the speckle present in OCT images of the retinal ...