Use of artificial intelligence for gestational age estimation: a systematic review and meta-analysis.

ABSTRACT:

Introduction

Estimating a reliable gestational age (GA) is essential in providing appropriate care during pregnancy. With advancements in data science, there are several publications on the use of artificial intelligence (AI) models to estimate GA using ultrasound (US) images. The aim of this meta-analysis is to assess the accuracy of AI models in assessing GA against US as the gold standard.

Methods

A literature search was performed in PubMed, CINAHL, Wiley Cochrane Library, Scopus, and Web of Science databases. Studies that reported use of AI models for GA estimation with US as the reference standard were included. Risk of bias assessment was performed using Quality Assessment for Diagnostic Accuracy Studies-2 (QUADAS-2) tool. Mean error in GA was estimated using STATA ver

SUBMITTER: Naz S 

PROVIDER: S-EPMC11821921 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature