Nursing

Psychological intervention

Context (archaeology)

Process (computing)

Health care

Biology

Social psychology

Operating system

Computer science

Business

Paleontology

Process management

Psychology

Political science

Artificial intelligence

Medicine

Knowledge management

Harm

Software deployment

Nature Medicine

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). In this Perspective, the authors present a framework, context and guidelines for accelerating the translation of machine-learning-based interventions in health care.

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