Clinical deployment environments: Five pillars of translational machine learning for health
Machine Learning for Health (ML4H) has demonstrated efficacy in computer imaging and other self-contained digital workflows, but has failed to substantially impact routine clinical care. This is no longer because of poor adoption of Electronic Health Records Systems (EHRS), but because ML4H needs an...
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Frontiers Media S.A.,
2022-08-01T00:00:00Z.
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