Can Artificial Intelligence Revolutionise Surgical Decision-Making for Appendectomy? A Narrative Review

Ali Murtada, Marco David Bokobza De la Rosa, Fatima Kayali, Albert Mensah, Shuaiyb Majid, Samuel N.S. Ghattas, Samuel S.S. Rezk, Ian Williams, Damian M. Bailey, Matti Jubouri, Mohamad Bashir, Department of General Surgery, Glan Clwyd Hospital, Lancaster Medical School, University of Lancaster, Rotational Departments, University Hospital Sussex, Department of General Surgery, Diana Princess of Wales Hospital, Department of Vascular Surgery, University Hospital of Wales, Neurovascular Research Laboratory, Faculty of Life Sciences and Education, University of South Wales, Hull York Medical School, University of York

Surgical Innovation

Published online on October 29, 2025

Abstract

Surgical Innovation, Volume 33, Issue 2, Page 138-149, April 2026.
IntroductionAcute appendicitis is a common cause of acute abdomen in secondary care. Despite advancements in diagnostics, misdiagnosis and negative appendectomies remain significant. Artificial Intelligence (AI), particularly machine learning (ML) and ...