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Do no harm: a roadmap for responsible machine learning for health care

Interest in machine-learning applications within medicine has been growing, but few studies have progressed to deployment in patient care. We present a framework, context and ultimately guidelines for accelerating the translation of machine-learning-based interventions in health care. To be successful, translation will require a team of engaged stakeholders and a systematic process from beginning (problem formulation) to end (widespread deployment).

Authors: Wiens J; Liu VX; Goldenberg A; et al.

Nat Med. 2019 09;25(9):1337-1340. Epub 2019-08-19.

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