Artificial intelligence for the diagnosis of pediatric appendicitis: A systematic review.
Journal:
The American journal of emergency medicine
PMID:
40048888
Abstract
BACKGROUND: While acute appendicitis is the most frequent surgical emergency in children, its diagnosis remains complex. Artificial intelligence (AI) and machine learning (ML) tools have been employed to improve the accuracy of various diagnoses, including appendicitis. The purpose of this study was to systematically review the current body of evidence regarding the efficacy of AL and ML approaches for the diagnosis of acute pediatric appendicitis.