Development and validation of a minimally invasive diagnostic model for biliary atresia using artificial intelligence.

ABSTRACT:

Background

Ultrasound and serum matrix metalloproteinase-7 (MMP-7) hold great value in distinguishing biliary atresia (BA) from other cholestatic diseases. This study aims to assess the accuracy of an artificial intelligence (AI) based diagnostic model of ultrasound combined with serum MMP-7 in discriminative diagnosis of BA.

Methods

This is a multicenter diagnostic study involving six medical centers in China. Patients with obstructive jaundice were enrolled. A set of morphological operators were employed to extract features of the ultrasound images to construct an AI algorithm. Logistic regression model was established with validation.

Results

Two cohorts with a total of 348 children with obstructive jaundice were recruited from January 2020 to April 2023. A retrosp

SUBMITTER: Jiang JY 

PROVIDER: S-EPMC12678471 | biostudies-literature | 2025 Dec

REPOSITORIES: biostudies-literature