Randomized Clinical Trials of Machine Learning Interventions in Health Care: A Systematic Review.

ABSTRACT:

Importance

Despite the potential of machine learning to improve multiple aspects of patient care, barriers to clinical adoption remain. Randomized clinical trials (RCTs) are often a prerequisite to large-scale clinical adoption of an intervention, and important questions remain regarding how machine learning interventions are being incorporated into clinical trials in health care.

Objective

To systematically examine the design, reporting standards, risk of bias, and inclusivity of RCTs for medical machine learning interventions.

Evidence review

In this systematic review, the Cochrane Library, Google Scholar, Ovid Embase, Ovid MEDLINE, PubMed, Scopus, and Web of Science Core Collection online databases were searched and citation chasing was done to find relevant articl

SUBMITTER: Plana D 

PROVIDER: S-EPMC9523495 | biostudies-literature | 2022 Sep

REPOSITORIES: biostudies-literature