Page 38 - Read Online
P. 38

Treger et al. Art Int Surg. 2025;5:126-32                                       Artificial
               DOI: 10.20517/ais.2024.66
                                                                               Intelligence Surgery




               Commentary                                                                    Open Access



               Advantages and ethics of artificial intelligence in
               plastic and reconstructive surgery


               Dylan Treger  , Griffin Harris, Seth R. Thaller

               Department of Surgery, Division of Plastic and Reconstructive Surgery, University of Miami Miller School of Medicine, Miami, FL
               33136, USA.
               Correspondence to: Dylan Treger, Department of Surgery, Division of Plastic and Reconstructive Surgery, University of Miami
               Miller School of Medicine, 1600 NW 10th Ave #1140, Miami, FL 33136, USA. E-mail: dyltreger@gmail.com
               How to cite this article: Treger D, Harris G, Thaller SR. Advantages and ethics of artificial intelligence in plastic and
               reconstructive surgery. Art Int Surg. 2025;5:126-32. https://dx.doi.org/10.20517/ais.2024.66
               Received: 13 Aug 2024  First Decision: 16 Oct 2024  Revised: 30 Oct 2024  Accepted: 11 Dec 2024  Published: 24 Feb 2025

               Academic Editors: Eyad Elyan, Andrew Gumbs  Copy Editor: Pei-Yun Wang  Production Editor: Pei-Yun Wang


               Abstract
               As artificial intelligence (AI) technologies evolve in sophistication, they offer the potential to benefit various
               aspects of plastic and reconstructive surgery practice. From enhancing surgical precision within the operating room
               to streamlining administrative tasks and supporting the diagnosis and treatment of patients, AI may grow into an
               invaluable tool that redefines standards of care within plastic surgery. Given the nascent and largely theoretical role
               of AI in plastic surgery, numerous questions arise regarding its safety, actual utility, ethical considerations, and
               policies needed to regulate its use. This manuscript aims to provide commentary on AI in healthcare and to discuss
               an alternative viewpoint of its use in plastic surgery. Americans remain hesitant about healthcare providers
               leveraging AI in their care. Ongoing scrutiny is required to protect patients from unintended sequelae, safeguard
               their privacy, mitigate bias, and reduce harm. Early legislation by the United States federal government has aimed
               to define a role for AI in healthcare, yet more explicit guidance is required. Uncertainty in medico-legal implications
               begs the question of where liability would fall if AI use causes adverse outcomes. If applied appropriately, AI may
               ultimately improve patient outcomes and satisfaction with their plastic surgery care. With less energy dedicated
               toward automatable tasks and tools that push the envelope of human performance, plastic surgeons may be better
               equipped to care for their patients. We advocate for a cautiously optimistic approach to AI’s incorporation within
               plastic and reconstructive surgery.

               Keywords: Artificial intelligence, ChatGPT, deep learning, ethics, large language models, machine learning, plastic
               surgery






                           © 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
               indicate if changes were made.

                                                                                        www.oaepublish.com/ais
   33   34   35   36   37   38   39   40   41   42   43