The reliability of a deep learning model in clinical out-of-distribution MRI data: A multicohort study

•The performance of a deep learning model for visual ratings of atrophy was investigated in clinical out-of-distribution data.•Model is more robust on unseen clinical data when trained on more heterogeneous training data.•Model trained on research data with harmonized protocols perform well in cohorts where data is acquired with similar scanning parameters but fails in others.