Trial Factors Associated With Completion of Clinical Trials Evaluating AI: Retrospective Case-Control Study.

ABSTRACT:

Background

Evaluation of artificial intelligence (AI) tools in clinical trials remains the gold standard for translation into clinical settings. However, design factors associated with successful trial completion and the common reasons for trial failure are unknown.

Objective

This study aims to compare trial design factors of complete and incomplete clinical trials testing AI tools. We conducted a case-control study of complete (n=485) and incomplete (n=51) clinical trials that evaluated AI as an intervention of ClinicalTrials.gov.

Methods

Trial design factors, including area of clinical application, intended use population, and intended role of AI, were extracted. Trials that did not evaluate AI as an intervention and active trials were excluded. The assessed trial d

SUBMITTER: Chen D 

PROVIDER: S-EPMC11459098 | biostudies-literature | 2024 Sep

REPOSITORIES: biostudies-literature