Researchers develop AI to improve accuracy of eye diagnosis

Researchers have developed AI based test that produces much more accurate diagnoses of eye diseases

Researchers at the Queensland University of Technology (QUT) have applied artificial intelligence (AI) to develop a more accurate and detailed method for analysing images of the back of the eye in order to help in detecting eye diseases

The team collected OCT chorio-retinal eye scans from an 18-month longitudinal study of 101 children with good vision and healthy eyes, and used these images to train the AI program to detect patterns and define the choroid boundaries.

David Alonso-Caneiro, QUT senior researcher and study lead author, said, “In our study we looked for a new method of analysing the images and extracting two main tissue layers at the back of the eye, the retina and choroid, with special interest in the choroid. The choroid is the area between the retina and the sclera, and it contains the major blood vessels that provide nutrients and oxygen to the eye”

The research, which will be published in the journal Ophthalmology, one of the first to examine how AI can improve physicians’ diagnostic accuracy.