AI-powered 3D pathology protocol enhances enteric nervous system visualization and quantification for clinical diagnostics.

ABSTRACT: Rationale: Accurate diagnosis and understanding of gastrointestinal (GI) diseases such as ulcerative colitis and Hirschsprung's disease remain challenging due to the limitations of traditional two-dimensional (2D) histopathology in capturing the intricate three-dimensional (3D) architecture and dynamic microenvironment of GI tissues. This study explores the potential of integrating 3D imaging techniques with artificial intelligence (AI)-based analysis to improve histological evaluation and diagnostic accuracy. Methods: Using advanced imaging and computational tools, we identified critical structural and functional details of the enteric nervous system and associated tissues that are often missed by 2D approaches. Results: The results showed that 3D imaging coupled with

SUBMITTER: Yun YH 

PROVIDER: S-EPMC12315810 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature