Current applications and future challenges of machine learning and artificial intelligence in clinical trials: A scoping review.

ABSTRACT:

Background

Machine learning (ML) and artificial intelligence (AI) applications have increased across different stages of clinical research. Their use in clinical trials (CTs) has been discussed but not quantified.

Methods

A scoping review was conducted by searching PubMed, Embase (Ovid), and Scopus for CTs or protocols. The goal was to understand the extent of ML and AI applications in the design, conduct, and analysis of CTs. Screening was performed on Covidence, with GPT model support.

Findings

After title/abstract and full-text screening, 108 records were included; in some studies, AI/ML was applied across multiple stages. For the design, 20 studies involved advanced methods, six applied them to stratification, four to treatment selection during randomization, six

SUBMITTER: Kanapari A 

PROVIDER: S-EPMC12678735 | biostudies-literature | 2025 Jan-Dec

REPOSITORIES: biostudies-literature