Researchers developed explainable AI to help diagnose and treat at-risk children

A pair of investigationers from the Oak Ridge Laboratory have developed an “exlevelable” AI method designed to aid medical professionals in the diagnosis and treatment of children and adults whove skilled childhood ill-luck. While this is a decidedly straight use-case_ the nuts and bolts behind this AI have specially interesting implications for the machine learning field as a total.

Plus_ it represents the leading real data-driven solution to the unappropriated problem of empowering general medical practitioners with expert-level estate symptom skills – an forcible feat in itself.