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Liu et al. Art Int Surg. 2025;5:425-33 Artificial
DOI: 10.20517/ais.2025.01
Intelligence Surgery

Systematic Review Open Access

Artificial intelligence use in abdominal wall
reconstruction: a systematic review

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1
1
2
Amy Liu , Akash Liyanage , Brian Chen , Peter Deptula , Daniel Murariu 1,4
1
Department of Surgery, University of Hawaii John A. Burns School of Medicine, Honolulu, HI 96817, USA.
2
School of Medicine, General Sir John Kotelawala Defense University, Dehiwala-Mount Lavinia 10390, Sri Lanka.
3
Department of Plastic and Reconstructive Surgery, Cleveland Clinic Florida, Weston, FL 33331, USA.
4
Hawaii Aesthetics & Robotic Plastic Surgery, Honolulu, HI 96817, USA.
Correspondence to: Dr. Daniel Murariu, Department of Surgery, University of Hawaii John A. Burns School of Medicine, 405 N.
Kuakini St., Suite 906, Honolulu, HI 96817, USA. E-mail: damurariu@queens.org
How to cite this article: Liu A, Liyanage A, Chen B, Deptula P, Murariu D. Artificial intelligence use in abdominal wall
reconstruction: a systematic review. Art Int Surg. 2025;5:425-33. https://dx.doi.org/10.20517/ais.2025.01
Received: 11 Jan 2025 First Decision: 12 Jun 2025 Revised: 28 Jul 2025 Accepted: 6 Aug 2025 Published: 15 Aug 2025

Academic Editor: Andrew Gumbs Copy Editor: Pei-Yun Wang Production Editor: Pei-Yun Wang

Abstract
Aim: The use of artificial intelligence (AI) in medicine has grown significantly in recent years. This systematic
review aims to highlight current trends in the application of AI specifically in abdominal wall reconstruction, which
represents one of many medical fields utilizing AI technology.

Methods: A systematic review was conducted following the preferred reporting items for systematic reviews and
meta-analyses (PRISMA) guidelines. Electronic databases including PubMed, Google Scholar, EBSCO, Ovid, and
the Cochrane Library were searched for studies published between 2000 and 2024 that evaluated AI applications
in abdominal wall reconstruction.

Results: A total of 142 publications were identified, of which 12 met the inclusion criteria and were included in this
review. All included studies were published between 2019 and 2024. Among these, 2 studies investigated AI
models for predicting hernia occurrence and the need for abdominal wall reconstruction; 1 study focused on AI for
preoperative planning; 6 articles examined AI-based prediction of postoperative complications; and 3 publications
explored the use of AI to answer patient questions.

Conclusion: Current research on AI in abdominal wall reconstruction primarily focuses on predicting postoperative
outcomes and minimizing complications. However, there is no established consensus regarding the optimal
applications or methodologies for integrating AI in this surgical field.

Keywords: Artificial intelligence, AI use in surgery, abdominal wall reconstruction

© The Author(s) 2025. Open Access This article is licensed under a Creative Commons Attribution 4.0
International License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, sharing,
adaptation, distribution and reproduction in any medium or format, for any purpose, even commercially, as
long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and
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