Identification of Hepatic Fibrosis and Steatosis via A Point‐of‐Care Transient Elastography System With Integrated AI

Key Points

• The research aims to evaluate the accuracy of an AI-integrated point-of-care transient elastography system in assessing liver fibrosis and steatosis.
• Compared AI-POC-TE with conventional transient elastography.
• Utilized B-mode guidance for enhanced imaging.
• Employed deep learning algorithms for analytics.
• AI-POC-TE demonstrated accuracy comparable to conventional methods.
• The system's portability offers practical clinical advantages.
• Added value includes improved guidance and analytics capabilities.

Abstract