A form of artificial intelligence designed to interpret a combination of retinal images was able to successfully identify a group of patients who were known to have Alzheimer’s disease, suggesting the approach could one day be used as a predictive tool, according to an interdisciplinary study from Duke University.
The novel computer software looks at retinal structure and blood vessels on images of the inside of the eye that have been correlated with cognitive changes.
The findings, appearing last week in the British Journal of Ophthalmology, provide proof-of-concept that machine learning analysis of certain types of retinal…
