Research: AI Has Perfect Detection Rate for Severe Cases of Retinopathy of Prematurity (ROP)
New research from Oregon Health & Science University (OHSU) and collaborators reveal that artificial intelligence technology can accurately and independently detect 100% of severe cases of retinopathy of prematurity (ROP). The research was published in the journal JAMA Ophthalmology.
The technology has the potential to expand worldwide screening and ultimately sight-saving treatment, according to the reserachers, who outlined the data on the OHSU website.
This new study marks the first time that autonomous AI screening for ROP has been shown to work in a real-world population, meaning the technology correctly flags the condition on its own without ophthalmologist support and without preselecting images to improve data quality. While many AI algorithms work in controlled experiments, they often fail to work in the real world due to differences between training data and real-world use.