Automated detection of enteric tubes misplaced in the respiratory tract on chest radiographs using deep learning with two centre validation.

The present study describes the development and external testing of a model that accurately identifies an enteric tube misplaced within the respiratory tract that could help reduce the risk of the catastrophic consequences of feeding through a misplaced Enteric tube.