Availability of Evidence for Predictive Machine Learning Algorithms in Primary Care: A Systematic Review.

ABSTRACT:

Importance

The aging and multimorbid population and health personnel shortages pose a substantial burden on primary health care. While predictive machine learning (ML) algorithms have the potential to address these challenges, concerns include transparency and insufficient reporting of model validation and effectiveness of the implementation in the clinical workflow.

Objectives

To systematically identify predictive ML algorithms implemented in primary care from peer-reviewed literature and US Food and Drug Administration (FDA) and Conformité Européene (CE) registration databases and to ascertain the public availability of evidence, including peer-reviewed literature, gray literature, and technical reports across the artificial intelligence (AI) life cycle.

Evidence review

SUBMITTER: Rakers MM 

PROVIDER: S-EPMC11393722 | biostudies-literature | 2024 Sep

REPOSITORIES: biostudies-literature