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Boutros et al. Art Int Surg 2022;2:213-23                                       Artificial
               DOI: 10.20517/ais.2022.32
                                                                               Intelligence Surgery




               Review                                                                        Open Access



               Artificial intelligence in hepatopancreaticobiliary
               surgery - promises and perils


                              1
                                          2
                                                    1
                                                                    1
               Christina Boutros , Vivek Singh , Lee Ocuin , Jeffrey M. Marks , Daniel A. Hashimoto 3
               1
                Department of Surgery, University Hospitals Cleveland Medical Center, Cleveland, OH 44106, USA.
               2
                Boston University School of Medicine, Boston, MA 02215, USA.
               3
                Department of Surgery, Hospital of the University of Pennsylvania, University of Pennsylvania Perelman School of Medicine, PA
               19104, USA.
               Correspondence to: Dr. Daniel Hashimoto, Department of Surgery, Hospital of the University of Pennsylvania, University of
               Pennsylvania Perelman School of Medicine, 4 Silverstein Pavilion, PA 19104, USA. E-mail:
               daniel.hashimoto@pennmedicine.upenn.edu
               How to cite this article: Boutros C, Singh V, Ocuin L, Marks JM, Hashimoto DA. Artificial intelligence in hepatopancreaticobiliary
               surgery - promises and perils. Art Int Surg 2022;2:213-23. https://dx.doi.org/10.20517/ais.2022.32
               Received: 4 Oct 2022  First Decision: 17 Nov 2022  Revised: 15 Dec 2022  Accepted: 28 Dec 2022  Published: 30 Dec 2022

               Academic Editors: Andrew A. Gumbs, Derek O’Reilly, Henry A. Pitt  Copy Editor: Ying Han  Production Editor: Ying Han

               Abstract
               Research and development in artificial intelligence (AI) has been experiencing a resurgence over the past decade.
               The rapid growth and evolution of AI approaches can leave one feeling overwhelmed and confused about how
               these technologies will impact hepatopancreaticobiliary (HPB) surgery, the obstacles to its clinical translation, and
               the role that HPB surgeons can play in accelerating AI’s development and ultimate clinical impact. This review
               outlines some of the basic terminology and current approaches in surgical AI, obstacles to further development and
               translation of AI, and how HPB surgeons can influence its future in surgery.

               Keywords:  Artificial  intelligence,  computer  vision,  natural  language  processing,  machine  learning,
               hepatopancreaticobiliary surgery



               INTRODUCTION
               Research and development in artificial intelligence (AI) has been experiencing a resurgence over the past
               decade. Historically, AI was first coined in 1956 in the Dartmouth Summer Research Program, a workshop
               organized and attended by scientists who are now recognized as the founders of AI as a field of study. With






                           © The Author(s) 2022. 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
               indicate if changes were made.

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