Current status of artificial intelligence analysis for the diagnosis of gallbladder diseases using ultrasonography: a scoping review.

ABSTRACT:

Background

Ultrasound (US) is the first-line imaging method for gallbladder diseases (GBDs), with advantages of easy accessibility, real-time dynamic imaging, and no radiation. However, using only visual judgment from US images to stratify the risk of gallbladder (GB) lesions is challenging. In addition, the diagnostic ability of sonographers is highly correlated with their knowledge reserves, clinical experience, and proficiency in operation. Recently, the application of artificial intelligence (AI) in medical image recognition has attracted widespread attention. This review aims to provide a comprehensive summary and analysis of the application of US-based AI technology in various GBDs. In addition, the diagnostic ability of US-based AI technology in GBDs based on the findings of

SUBMITTER: Wang X 

PROVIDER: S-EPMC11811555 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature