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Walker et al. Art Int Surg. 2025;5:345-9                                        Artificial
               DOI: 10.20517/ais.2025.02
                                                                               Intelligence Surgery




               Perspective                                                                   Open Access



               From surgical outcome prediction to optimizing
               surgical performance: the role of artificial

               intelligence in hernia surgery

                                                                3
                                              2
                              1
               Victoria L. Walker , B. Todd Heniford , Gregory T. Scarola , Sullivan A. Ayuso 2
               1
                Department of Surgery, Baptist Memorial Hospital, Memphis, TN 38120, USA.
               2
                Division of Gastrointestinal and General Surgery, Department of Surgery, Endeavor Health, Evanston, IL 60201, USA.
               3
                Division of Gastrointestinal and Minimally Invasive Surgery, Department of Surgery, Carolinas Medical Center, Charlotte, NC
               60202, USA.
               Correspondence to: Dr. Sullivan A. Ayuso, Division of Gastrointestinal and General Surgery, Department of Surgery, Endeavor
               Health, Room B665, 2650 Ridge Ave, Evanston, IL 60201, USA. E-mail: sullivan.ayuso@gmail.com
               How to cite this article: Walker VL, Heniford BT, Scarola GT, Ayuso SA. From surgical outcome prediction to optimizing surgical
               performance: the role of artificial intelligence in hernia surgery. Art Int Surg. 2025;5:345-9. https://dx.doi.org/10.20517/ais.
               2025.02

               Received: 13 Jan 2025  First Decision: 27 May 2025  Revised: 2 Jun 2025  Accepted: 12 Jun 2025  Published: 7 Jul 2025

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

               Abstract
               Artificial intelligence (AI) is starting to change the way we approach hernia surgery and abdominal wall
               reconstruction (AWR). From improving surgical planning to predicting outcomes and enhancing intraoperative
               precision, AI, particularly deep learning models (DLMs), offers tools that can support decision making and
               personalize patient care. These models can analyze large datasets, such as preoperative imaging, to spot patterns
               we might miss. We have seen AI outperform experienced surgeons in predicting complications like mesh
               infections. Despite its promise, there are also valid concerns about data quality, transparency, and overreliance.
               Thoughtful integration is essential, ensuring that AI complements rather than replaces clinical judgment. Moving
               forward, collaboration with fields such as computer science and support from surgical societies will be essential.
               With appropriate groundwork, AI can be a powerful tool in the pre-op, intra-op, and post-op phases of care.

               Keywords: Artificial intelligence, deep learning, algorithm, hernia, abdominal wall reconstruction, surgery



               Artificial intelligence (AI) refers to computer systems designed to mimic human cognition. AI has the
               capacity to perform both routinized and complex tasks, such as learning and problem-solving, and is rapidly




                           © 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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