Maturity Framework for Operationalizing Machine Learning Applications in Health Care: Scoping Review

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Proposed a 3-stage maturity framework for implementing MLOps in health care, indicating varied progress.
Found only 19 studies covering ML implementation in clinical settings, emphasizing the gap in existing literature.
Identified essential steps in the MLOps workflow, though only partially verified across included studies.
Call for improved data infrastructure and stakeholder engagement to support successful ML applications in health care.

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Scoping review reveals a maturity framework for MLOps in health care, highlighting implementation challenges.

Li et al. (2025) studied this question.

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