A novel flexible near-infrared endoscopic device that enables real-time artificial intelligence fluorescence tissue characterization.

ABSTRACT: Real-time endoscopic rectal lesion characterization employing artificial intelligence (AI) and near-infrared (NIR) imaging of the fluorescence perfusion indicator agent Indocyanine Green (ICG) has demonstrated promise. However, commercially available fluorescence endoscopes do not possess the flexibility and anatomical reach capabilities of colonoscopy while commercial flexible scopes do not yet provide beyond visible spectral imaging. This limits the application of this AI-NIR classification technology. Here, to close this technical gap, we present our development of a colonoscope-compatible flexible imaging probe for NIR-ICG visualization combined with a full field of view machine learning (ML) algorithm for fluorescence quantification and perfusion pattern cross-correlation (including f

SUBMITTER: Gallagher G 

PROVIDER: S-EPMC11906065 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature