Effectiveness of AI for Enhancing Computed Tomography Image Quality and Radiation Protection in Radiology: Systematic Review and Meta-Analysis.

ABSTRACT:

Background

Artificial intelligence (AI) presents a promising approach to balancing high image quality with reduced radiation exposure in computed tomography (CT) imaging.

Objective

This meta-analysis evaluates the effectiveness of AI in enhancing CT image quality and lowering radiation doses.

Methods

A thorough literature search was performed across several databases, including PubMed, Embase, Web of Science, Science Direct, and Cochrane Library, with the final update in 2024. We included studies that compared AI-based interventions to conventional CT techniques. The quality of these studies was assessed using the Newcastle-Ottawa Scale. Random effect models were used to pool results, and heterogeneity was measured using the I² statistic. Primary outcomes included ima

SUBMITTER: Zhang S 

PROVIDER: S-EPMC11907168 | biostudies-literature | 2025 Feb

REPOSITORIES: biostudies-literature