Machine learning research methods to predict postoperative pain and opioid use: a narrative review.

ABSTRACT: The use of machine learning to predict postoperative pain and opioid use has likely been catalyzed by the availability of complex patient-level data, computational and statistical advancements, the prevalence and impact of chronic postsurgical pain, and the persistence of the opioid crisis. The objectives of this narrative review were to identify and characterize methodological aspects of studies that have developed and/or tested machine learning algorithms to predict acute, subacute, or chronic pain or opioid use after any surgery and to propose considerations for future machine learning studies. Pairs of independent reviewers screened titles and abstracts of 280 PubMed-indexed articles and ultimately extracted data from 61 studies that met entry criteria. We observed a marked increase in

SUBMITTER: Langford DJ 

PROVIDER: S-EPMC12821306 | biostudies-literature | 2025 Feb

REPOSITORIES: biostudies-literature