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42nd Annual Macula Society Meeting | February 2020

A Novel AI-Based System for Identifying, quantifying and visualizing fluid on OCT scans in retinal pathologies

Anat Loewenstein, MD
Angiogenesis, Exudation, and Degeneration 2020 | February 2020

AI-based fluid quantification on serial OCT images from a patient self-operated device

Anat Loewenstein, MD
Hawaiian Eye/Macula 2020 | January 2020

AI and Imaging: Where Are We Going? Does It Matter?

Judy E. Kim MD
Macula 2020 | January 2020

AI-Enabled Self-Operated OCT device

Judy E. Kim, MD
AAO 2019 | October 2019

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.

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