Artificial Intelligence and Acute Appendicitis: A Systematic Review of Diagnostic and Prognostic Models.

Journal: World journal of emergency surgery : WJES
Published Date:

Abstract

BACKGROUND: To assess the efficacy of artificial intelligence (AI) models in diagnosing and prognosticating acute appendicitis (AA) in adult patients compared to traditional methods. AA is a common cause of emergency department visits and abdominal surgeries. It is typically diagnosed through clinical assessments, laboratory tests, and imaging studies. However, traditional diagnostic methods can be time-consuming and inaccurate. Machine learning models have shown promise in improving diagnostic accuracy and predicting outcomes.

Authors

  • Mahbod Issaiy
    Advanced Diagnostic and Interventional Radiology Research Center (ADHR), Tehran University of Medical Sciences, Tehran, Iran.
  • Diana Zarei
    School of Medicine, Iran University of Medical Sciences, Tehran, Iran.
  • Amene Saghazadeh
    Systematic Review and Meta-Analysis Expert Group (SRMEG), Universal Scientific Education and Research Network (USERN), Tehran, Iran. amene.saghazadeh@gmail.com.