Multimodal foundation model assistance for differentiating primary open-angle glaucoma in highly myopic eyes.

In this internal retrospective study, the artificial intelligence-assisted phase showed numerically higher mean sensitivity, accuracy, confidence, and inter-reader agreement than the unaided phase, with unchanged mean specificity.

Reader-level diagnostic differences were not statistically significant after multiplicity adjustment and should be considered exploratory. Prospective multicenter validation is required before clinical deployment.