HCP Live May 15, 2024
Automated anemia detection from fundus images may benefit patients undergoing routine retinal imaging.
Automated detection of anemia from retinal fundus images using artificial intelligence (AI) may benefit patients undergoing routine retinal imaging, according to new data presented at the 2024 Association for Research in Vision and Ophthalmology (ARVO) Meeting.1
The classification algorithm, trained and developed using three network architectures, revealed all had high sensitivity and specificity in detecting anemia from the fundus images, despite very slight differences in those findings.
“The convolutional neural networks tested in this study hold promise for early and non-invasive diagnosis of anemia, thereby reducing associated health risks,” wrote the investigative team, led by Rehana Khan Khan, a PhD candidate at the University of New South...