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

Clicks: 242
ID: 32843
2019
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Abstract
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).
Reference Key
wiens2019donature Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Wiens, Jenna;Saria, Suchi;Sendak, Mark;Ghassemi, Marzyeh;Liu, Vincent X;Doshi-Velez, Finale;Jung, Kenneth;Heller, Katherine;Kale, David;Saeed, Mohammed;Ossorio, Pilar N;Thadaney-Israni, Sonoo;Goldenberg, Anna;
Journal Nature Medicine
Year 2019
DOI
10.1038/s41591-019-0548-6
URL
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