Automated assessment of right heart function by artificial intelligence: A systematic review and meta-analysis.

ABSTRACT:

Background

Accurate assessment of right ventricular (RV) size and function is critical for managing cardiac diseases but is challenged by the limitations of traditional echocardiography. Artificial intelligence (AI) models offer potential for improving RV assessment, yet their diagnostic accuracy remains uncertain. This systematic review and meta-analysis evaluates the diagnostic accuracy of AI models for predicting RV size and function, synthesizing performance metrics and assessing evidence quality.

Methods

Adhering to PRISMA guidelines, we searched 5 databases up to June 2025 using MeSH and Emtree terms for "Artificial Intelligence," "Right Ventricular Function," and "Right Ventricular Dysfunction." Two reviewers screened studies, extracted data and assessed quality using

SUBMITTER: Eini P 

PROVIDER: S-EPMC12741415 | biostudies-literature | 2026 Jun

REPOSITORIES: biostudies-literature