Diagnosis and classification of pediatric acute appendicitis by artificial intelligence methods: An investigator-independent approach.

ABSTRACT: Acute appendicitis is one of the major causes for emergency surgery in childhood and adolescence. Appendectomy is still the therapy of choice, but conservative strategies are increasingly being studied for uncomplicated inflammation. Diagnosis of acute appendicitis remains challenging, especially due to the frequently unspecific clinical picture. Inflammatory blood markers and imaging methods like ultrasound are limited as they have to be interpreted by experts and still do not offer sufficient diagnostic certainty. This study presents a method for automatic diagnosis of appendicitis as well as the differentiation between complicated and uncomplicated inflammation using values/parameters which are routinely and unbiasedly obtained for each patient with suspected appendicitis. We analyzed f

SUBMITTER: Reismann J 

PROVIDER: S-EPMC6760759 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature