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STAT February 13, 2020
It’s one thing to train an algorithm to produce headline-grabbing results on paper. It’s quite another to train it to improve care for patients in practice. STAT reporter Casey Ross explores the challenges health systems must address to close that crucial gap in the field of artificial intelligence, where the science of validating algorithms is still a work in progress.
It is work that involves accounting for impacts on costs, clinician...
