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

Nat Med. 2019 Sep;25(9):1337-1340. doi: 10.1038/s41591-019-0548-6. Epub 2019 Aug 19.


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).

Publication types

  • Review

MeSH terms

  • Clinical Decision-Making / ethics
  • Delivery of Health Care / ethics
  • Delivery of Health Care / trends*
  • Humans
  • Machine Learning / ethics
  • Machine Learning / trends*