Medical artificial intelligence (AI) faces a fundamental challenge: uncertainty quantification. Artificial neural networks are largely unaware of the limits of their training data and can become overconfident when confronted with unfamiliar inputs. Suppose you train a neural network to distinguish among African mammals.
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