A Novel AI-Based System for Identifying, quantifying and visualizing fluid on OCT scans in retinal pathologiesAnat Loewenstein, MD
AI-based fluid quantification on serial OCT images from a patient self-operated deviceAnat Loewenstein, MD
AI and Imaging: Where Are We Going? Does It Matter?Judy E. Kim MD
AI-Enabled Self-Operated OCT deviceJudy E. Kim, MD
A Novel AI-Based Algorithm for Quantifying Volumes of Retinal Pathologies in OCT Scans (ePoster 503)
Notal OCT Algorithm (NOA) is able to detect retinal fluid with high sensitivity and specificity when compared to human graders. The algorithm's volume quantifications of fluid and RPE elevations are highly correlated with those by human graders and its ability to provide volume quantifications of fluid and RPE elevations over time may be a clinically useful tool in evaluating retinal disease status and progression over time.