@Edent A good reminder of the challenge with any ML model. Though these things often exist as parts of larger systems which can offer a way forward.For example I think the Trillema can be solved in cancer detection by chaining two models. You first have a fast and cheap filter with low false negatives then another reliable one with low false positives, potentially involving a human doctor looking at the results.