Artificial Intelligence in the Diagnosis of Hirschsprung Disease: A Scoping Review and Rationale for a Multicentric Approach
Author / Expert
Sergio Alzate-Ricaurte, Felipe Ocampo Osorio, Adrià Costa-Roig, Maria Camila Gómez Ayala, Inés Elvira Gomez, Michael A. Arnold, Clara Ivette Campos Garcia, Sergio Sanchez-Sosa, Mark Lovell, Gustavo Adolfo Cruz-Suarez, Ana Maria Portilla-Buenaventura, Edga
Topic overview
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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