HIGHLIGHTS
SUMMARY
The list of medical uses for Artificial_Intelligence (AI) and Machine Learning (ML) is expanding rapidly. For readers familiar with the concept of "Explainable AI," the "explainable" piece often refers to a secondary technology applied to a trained AI/ML model that extracts information about why the model makes certain predictions. Opaque describes a system that (a) estimates non-linearly applied parameters that require advanced analysis (external to the product itself) to be understood, (b) estimates such a large set of parameters that a human cannot interpret them unless aided by a tool external to . . .
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