Screening of normal endoscopic large bowel biopsies with interpretable graph learning: a retrospective study

Abstract

The model achieved consistently high accuracy showing its potential in optimising increasingly scarce pathologist resources. Explainable predictions can guide pathologists in their diagnostic decision-making and help boost their confidence in the algorithm, paving the way for its future clinical adoption.