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Talwar et al. Art Int Surg. 2025;5:46-52                                        Artificial
               DOI: 10.20517/ais.2024.81
                                                                               Intelligence Surgery




               Perspective                                                                   Open Access



               Natural language processing in plastic surgery
               patient consultations


               Ankoor Talwar, Chen Shen    , Joseph H. Shin

               Division of Plastic Surgery, Department of Surgery, Dartmouth-Hitchcock Medical Center, Lebanon, NH 03766, USA.
               Correspondence to: Dr. Ankoor Talwar, Division of Plastic Surgery, Department of Surgery, Dartmouth-Hitchcock Medical
               Center, 1 Medical Center Drive, Lebanon, NH 03766, USA. E-mail: ankoor.a.talwar@hitchcock.org

               How to cite this article: Talwar A, Shen C, Shin JH. Natural language processing in plastic surgery patient consultations. Art Int
               Surg. 2025;5:46-52. https://dx.doi.org/10.20517/ais.2024.81

               Received: 19 Sep 2024   First Decision: 9 Dec 2024   Revised: 21 Dec 2024   Accepted: 25 Dec 2024   Published: 10 Jan 2025

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

               Abstract
               Natural language processing (NLP) is the study of systems that allow machines to understand, interpret, and
               generate human language. With the advent of large language models (LLMs), non-technical industries can also
               harness the power of NLP. This includes healthcare, specifically surgical care and plastic surgery. This manuscript
               is an introductory review for plastic surgeons to understand the current state and future potential of NLP in patient
               consultations. The integration of NLP into plastic surgery patient consultations can transform both documentation
               and communication. These applications include information extraction, patient chart summarization, ambient
               transcription, coding, enhancing patient understanding, translation, and a patient-facing chatbot. We discuss the
               current progress toward building these applications and highlight their challenges. NLP has the potential to
               personalize care, enhance patient satisfaction, and improve workflows for plastic surgeons. Altogether, NLP can
               radically transform our current model of consultation into one that is more patient-centered.

               Keywords: NLP, Large language models, GPT, transcription, coding, translation, literacy, Chatbot



               INTRODUCTION
               Natural language processing (NLP), a subfield of artificial intelligence (AI), focuses on the systems that
               allow machines to understand, interpret, and generate human language - a capability that is particularly
               significant. While NLP has been around for decades, it has mostly existed in small, non-generative forms.







                           © 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.

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