Presentations

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

AI-Enabled Self-Operated OCT device

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.

Home OCT Monitoring: The Future of AMD Management

Out of 196 patients in the NOTAL-OCT V2.5 system performance and usability study, 90% could self-operate the device and capture gradable image of their macula. The study demonstrated that elderly patients with intermediate or advanced AMD can effectively self-operate an OCT and that they would consider using it to self-test at home. Home-based OCT testing has the potential to be an adjunct to in-office standard-of-care management and treatment of retinal vascular diseases.

Performance and Usability of a Self-operated Home OCT system

Out of 196 patients in the NOTAL-OCT V2.5 system performance and usability study, 90% could self-operate the device and capture gradable image of their macula. The study demonstrated that elderly patients with intermediate or advanced AMD can effectively self-operate an OCT and that they would consider using it to self-test at home. Home-based OCT testing has the potential to be an adjunct to in-office standard-of-care management and treatment of retinal vascular diseases.