Tag: AI

Shelby Storm, Madeline Pflasterer-Jennerjohn, Robert Slater, Rachel Linderman, Jeong W. Pak, David Lopez, Barbara A. Blodi, Amitha Domalpally Abstract Purpose: Ellipsoid zone (EZ) loss is increasingly used as an endpoint in geographic atrophy (GA) trials, and AI algorithms are usually applied for automated EZ-loss area measurement. Most AI validations use cross-sectional datasets; however, therapeutic endpoints …

Reeva Faisal, Caleb Pacheco, Robert Slater, Mohammed S. Younis, Jomol Matthew, Marine Nalbandyan, Amitha Domalpally, Roomasa Channa Abstract Purpose: Optos ultrawide field imaging is widely used in routine care to monitor Geographic Atrophy (GA) progression due to ease of imaging and comfort to patients. Our AI algorithm for GA quantification was originally developed and validated …

Thomas Saunders, Robert Slater, Roomasa Channa, Barbara A. Blodi, Amitha Domalpally Abstract Purpose: Area of geographic atrophy (GA) is a primary enrollment criterion in clinical trials. Current practices rely on clinicians to screen subjects for inclusion without a practical or reliable tool for GA area measurement, leading to screen failure rates as high as 50%. …

Rushi N. Mankad, Madeline Pflasterer-Jennerjohn, Rachel E. Linderman, Robert Slater, Amitha Domalpally Abstract Purpose: The consensus of Atrophy (CAM) criteria provides a robust framework for evaluating geographic atrophy (GA) with optical coherence tomography (OCT) scans. However, the manual assessment of GA area based on these criteria is highly time-consuming and labor-intensive. This study aims to …

Mohammed Younis, Robert D. Slater, Caleb Pacheco, Sairi Zhang, Rick Voland, Rachel E. Linderman, Roomasa Channa, Amitha Domalpally Abstract Purpose: To develop and validate a transfer learning model for measuring geographic atrophy (GA) area using ultrawide field (UWF) fundus autofluorescence (FAF) imaging. The model was initially trained and validated on Heidelberg Spectralis images and subsequently …