Artificial Intelligence-Based Disease Activity Monitoring to Personalized Neovascular Age-Related Macular Degeneration Treatment: A Feasibility Study.

ABSTRACT:

Purpose

To evaluate the performance of a disease activity (DA) model developed to detect DA in participants with neovascular age-related macular degeneration (nAMD).

Design

Post hoc analysis.

Participants

Patient dataset from the phase III HAWK and HARRIER (H&H) studies.

Methods

An artificial intelligence (AI)-based DA model was developed to generate a DA score based on measurements of OCT images and other parameters collected from H&H study participants. Disease activity assessments were classified into 3 categories based on the extent of agreement between the DA model's scores and the H&H investigators' decisions: agreement ("easy"), disagreement ("noisy"), and close to the decision boundary ("difficult"). Then, a panel of 10 international retina specialists

SUBMITTER: Mulyukov Z 

PROVIDER: S-EPMC11381777 | biostudies-literature | 2024 Nov-Dec

REPOSITORIES: biostudies-literature