Quality of reporting of randomised controlled trials of artificial intelligence in healthcare: a systematic review

ABSTRACT:

Objectives

The aim of this study was to evaluate the quality of reporting of randomised controlled trials (RCTs) of artificial intelligence (AI) in healthcare against Consolidated Standards of Reporting Trials—AI (CONSORT-AI) guidelines.

Design

Systematic review.

Data sources

We searched PubMed and EMBASE databases for studies reported from January 2015 to December 2021.

Eligibility criteria

We included RCTs reported in English that used AI as the intervention. Protocols, conference abstracts, studies on robotics and studies related to medical education were excluded.

Data extraction

The included studies were graded using the CONSORT-AI checklist, comprising 43 items, by two independent graders. The results were tabulated and descriptive statist

SUBMITTER: Shahzad R 

PROVIDER: S-EPMC9445816 | biostudies-literature | 2022 Jan

REPOSITORIES: biostudies-literature