Benchmarking the Robustness of Foundation Models for Mammography under Domain Shift
The episode discusses 'Benchmarking the Robustness of Foundation Models for Mammography under Domain Shift.' Hosts analyze how foundation models perform across diverse, out-of-distribution datasets from different countries. The conclusion emphasizes that robust clinical AI requires evaluation beyond single datasets, focusing on dataset structure and task alignment.