[Predictive appendicitis scale for children under 4 years of age: Is it possible to apply artificial intelligence?]

Dayhana Arango Cárdenas1, Jorge Andrés Castrillón Lozano2, Ximena Areiza Ocampo3

  • 1Estudiante . dayhana.arangocar@campusucc.edu.co.

Insights

Artificial intelligence improves pediatric appendicitis diagnosis. AI algorithms enhance diagnostic accuracy, reducing unnecessary surgeries and complications in children.

Area of Science:

  • Pediatric Surgery
  • Medical Diagnostics
  • Artificial Intelligence in Medicine

Context:

  • Acute appendicitis presents heterogeneously in children.
  • Current diagnostic criteria and scales lack sufficient standardized accuracy.
  • There is a need for improved diagnostic methods in pediatric appendicitis.

Purpose:

  • To explore the application of artificial intelligence (AI) in diagnosing acute appendicitis in pediatric patients.
  • To assess AI's potential to improve diagnostic accuracy and guide treatment decisions.

Summary:

  • Artificial intelligence, utilizing various algorithms, offers a more accurate diagnostic approach for pediatric appendicitis.
  • AI can analyze patient conditions to recommend the most appropriate interventions.
  • This technology aims to reduce the rate of unnecessary appendectomies.

Impact:

  • Potential to decrease misdiagnosis rates in pediatric appendicitis.
  • Reduction in unnecessary surgical interventions and associated complications.
  • Improved patient outcomes through more precise and timely diagnosis and treatment.