1 results match your criteria: "Department of Medical Engineering and Analytics Carinthia University of Applied Sciences Villach Austria.[Affiliation]"
Background And Aims: Appendicitis is the most common surgical emergency in pediatric patients, requiring timely diagnosis to prevent complications. This study introduces an innovative approach by integrating clinical, laboratory, and imaging features with advanced machine-learning techniques to enhance diagnostic accuracy in pediatric appendicitis.
Methods: A retrospective analysis was conducted on 782 pediatric patients from the Regensburg Pediatric Appendicitis Data set.