This is a protocol for a Cochrane Review (diagnostic). The objectives are as follows:

To determine the diagnostic accuracy of artificial intelligence (AI) as a triaging tool for exudative age-related macular degeneration (eAMD).

To compare the performance of different AI algorithms with respect to eAMD diagnosis.

To explore potential causes of heterogeneity in diagnostic performance according to the following:

index test methodology (core AI method);

sources of input to train algorithms (number of training and testing cases);

imaging modality (optical coherence tomography, fundus photos, optical coherence tomography angiography, etc, or any combination);

characteristics of test set (difficulty of test set, proportion of positive versus negative cases);

population characteristics (symptomatic versus asymptomatic, age, etc.);

study design (cross-sectional versus longitudinal studies).