Notal OCT Analyzer
A computational image analysis algorithm providing automated detection, localization and quantification of fluid in exudative retinal diseases. The Notal OCT Analyzer can analyze images from commercial OCTs and forms the backbone of the Home OCT System
Investigational device not cleared for clinical use.
The Notal OCT Analyzer (NOATM) is a computational image analysis algorithm designed to provide automated detection of fluid in exudative retinal diseases including wet Age-Related Macular Degeneration, macular edema, and retinal vein occlusions. NOA uses a machine learning algorithm and image recognition computational technique to distinguish between normal morphologic structures and those associated with disease-related changes that occur as a result of fluid that is present under and within the retina.
With performance validated in a clinical trial that compared NOA’s sensitivity, specificity, and accuracy with that of three retinal specialists1, the algorithm has multiple commercial applications including the analyses of data generated in patients’ homes with Notal Vision’s home-OCT device as well as of data generated with in-office OCT systems, all performed as service on the cloud.
American Academy of Ophthalmology 2019 ePoster
A Novel AI-Based Algorithm for Quantifying Volumes of Retinal Pathologies in OCT Scans