For each dataset, slides are ordered by their probability of being positive for cancer, as predicted by the respective MIL-RNN model. The sensitivity is computed at the case level. a, BCC (n = 1,575): given a positive prediction threshold of 0.025, it is possible to ignore roughly 68% of the slides while maintaining 100% sensitivity. b, Breast metastases (n = 1,473): given a positive prediction threshold of 0.21, it is possible to ignore roughly 65% of the slides while maintaining 100% sensitivity.