Artificial Intelligence in the Diagnosis of Hirschsprung Disease: A Scoping Review and Rationale for a Multicentric Approach

Abstract

Hirschsprung disease (HD) is a congenital disorder characterized by absence of enteric ganglion cells, leading to functional bowel obstruction. Despite advances in diagnosis, global disparities persist, particularly in low- and middle-income countries (LMICs), where access to pathology remains limited. Artificial intelligence (AI) offers potential to improve diagnostic accessibility through histopathologic analysis.

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