Artificial intelligence for predicting acute appendicitis: a systematic review.

Journal: ANZ journal of surgery
Published Date: Jul 17, 2023

Abstract

BACKGROUND: Paediatric appendicitis may be challenging to diagnose, and outcomes difficult to predict. While diagnostic and prognostic scores exist, artificial intelligence (AI) may be able to assist with these tasks.

Authors

  • Antoinette Lam
    University of Adelaide, Adelaide, SA, Australia.
  • Emily Squires
    Flinders University, Adelaide, South Australia, Australia.
  • Sheryn Tan
    University of Adelaide, Adelaide, South Australia, Australia.
  • Ng Jeng Swen
    University of Adelaide, Adelaide, South Australia, Australia.
  • Adriano Barilla
    Lyell McEwin Hospital, Adelaide, South Australia, Australia.
  • Joshua Kovoor
    Faculty of Health and Medical Sciences, Adelaide Medical School, University of Adelaide, Adelaide, SA 5000 Australia.
  • Aashray Gupta
    Adelaide Medical School, The University of Adelaide, Adelaide, South Australia, Australia.
  • Stephen Bacchi
    Faculty of Health and Medical Sciences, Adelaide Medical School, University of Adelaide, Adelaide, SA 5000 Australia.
  • Sanjeev Khurana
    Department of Paediatric Surgery, Women's and Children's Hospital, Adelaide, South Australia.

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