Extended Data Fig. 10: Performance in predicting myocardial infarction across ethnicities.
From: A foundation model for generalizable disease detection from retinal images

We show AUROC of predicting 3-year myocardial infarction in subsets with different ethnicity. Data is from MEH-AlzEye test set. The first column shows the performance on all test data, followed by results on White, Asian or Asian British, and Black or Black British cohorts. The cohort quantity is listed in titles. We trained the model with 5 different random seeds, determining the shuffling of training data, and evaluated the models on the test set to get 5 replicas. We derived the statistics with the 5 replicas. The error bars show 95% confidence intervals and the bars’ centre represents the mean value of the AUPR. We compare the performance of RETFound with the most competitive comparison model to check if statistically significant differences exist. p-value is calculated with the two-sided t-test and listed in the figure.