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

Dayhana Arango CárdenasJorge Andrés Castrillón LozanoXimena Areiza Ocampo
Published in: Revista de la Facultad de Ciencias Medicas (Cordoba, Argentina) (2024)
Acute appendicitis in the pediatric population is a pathology of heterogeneous presentation that is currently diagnosed using various criteria or predictive scales, which have proven not to be sufficiently accurate to be standardized, however, methods have been created to establish a more accurate diagnosis, an aspect that has been provided by artificial intelligence, which through different algorithms has the ability to show the patient's condition and the most appropriate intervention for this, thus reducing the rate of unnecessary interventions and therefore possible related complications.
Keyphrases
  • artificial intelligence
  • machine learning
  • deep learning
  • big data
  • case report
  • high resolution
  • randomized controlled trial
  • young adults
  • physical activity
  • risk factors
  • mass spectrometry