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      ChatGPT in orthopedics: a narrative review exploring the potential of artificial intelligence in orthopedic practice

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          Abstract

          The field of orthopedics faces complex challenges requiring quick and intricate decisions, with patient education and compliance playing crucial roles in treatment outcomes. Technological advancements in artificial intelligence (AI) can potentially enhance orthopedic care. ChatGPT, a natural language processing technology developed by OpenAI, has shown promise in various sectors, including healthcare. ChatGPT can facilitate patient information exchange in orthopedics, provide clinical decision support, and improve patient communication and education. It can assist in differential diagnosis, suggest appropriate imaging modalities, and optimize treatment plans based on evidence-based guidelines. However, ChatGPT has limitations, such as insufficient expertise in specialized domains and a lack of contextual understanding. The application of ChatGPT in orthopedics is still evolving, with studies exploring its potential in clinical decision-making, patient education, workflow optimization, and scientific literature. The results indicate both the benefits and limitations of ChatGPT, emphasizing the need for caution, ethical considerations, and human oversight. Addressing training data quality, biases, data privacy, and accountability challenges is crucial for responsible implementation. While ChatGPT has the potential to transform orthopedic healthcare, further research and development are necessary to ensure its reliability, accuracy, and ethical use in patient care.

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          History of artificial intelligence in medicine

          Artificial intelligence (AI) was first described in 1950; however, several limitations in early models prevented widespread acceptance and application to medicine. In the early 2000s, many of these limitations were overcome by the advent of deep learning. Now that AI systems are capable of analyzing complex algorithms and self-learning, we enter a new age in medicine where AI can be applied to clinical practice through risk assessment models, improving diagnostic accuracy and workflow efficiency. This article presents a brief historical perspective on the evolution of AI over the last several decades and the introduction and development of AI in medicine in recent years. A brief summary of the major applications of AI in gastroenterology and endoscopy are also presented, which are reviewed in further detail by several other articles in this issue of Gastrointestinal Endoscopy.
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            Artificial Intelligence and Surgical Decision-Making

            Surgeons make complex, high-stakes decisions under time constraints and uncertainty, with significant effect on patient outcomes. This review describes the weaknesses of traditional clinical decision-support systems and proposes that artificial intelligence should be used to augment surgical decision-making.
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              A deeper dive into ChatGPT: history, use and future perspectives for orthopaedic research

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                Author and article information

                Contributors
                URI : https://loop.frontiersin.org/people/991359/overviewRole: Role: Role: Role: Role:
                Role: Role: Role:
                URI : https://loop.frontiersin.org/people/232706/overviewRole: Role: Role:
                URI : https://loop.frontiersin.org/people/1534222/overviewRole: Role:
                URI : https://loop.frontiersin.org/people/2548126/overviewRole: Role: Role:
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                URI : https://loop.frontiersin.org/people/1205445/overviewRole: Role: Role:
                Journal
                Front Surg
                Front Surg
                Front. Surg.
                Frontiers in Surgery
                Frontiers Media S.A.
                2296-875X
                01 November 2023
                2023
                : 10
                : 1284015
                Affiliations
                [ 1 ]IRCCS Istituto Ortopedico Galeazzi , Milan, Italy
                [ 2 ]Residency Program in Orthopedics and Traumatology, University of Milan , Milan, Italy
                [ 3 ]Department of Plastic Surgery, University of Pittsburgh Medical Center , Pittsburgh, PA, United States
                [ 4 ]Department of Orthopaedic, Trauma, and Reconstructive Surgery, RWTH University Medical Centre , Aachen, Germany
                [ 5 ]Department of Orthopedics and Trauma Surgery, Academic Hospital of Bolzano (SABES-ASDAA), Teaching Hospital of the Paracelsus Medical University , Bolzano, Italy
                [ 6 ]Dipartimento di Scienze Biomediche per la Salute, Università degli Studi di Milano , Milan, Italy
                Author notes

                Edited by: Babak Saravi, University of Freiburg Medical Center, Germany

                Reviewed by: Bernardo Innocenti, Université libre de Bruxelles, Belgium Mattia Alessio-Mazzola, San Raffaele Hospital (IRCCS), Italy

                [* ] Correspondence: Riccardo Giorgino riccardo.giorgino@ 123456unimi.it
                Article
                10.3389/fsurg.2023.1284015
                10654618
                38026475
                a9cbf34f-d289-4c55-be48-a4e2ec2600f0
                © 2023 Giorgino, Alessandri-Bonetti, Luca, Migliorini, Rossi, Peretti and Mangiavini.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 27 August 2023
                : 16 October 2023
                Page count
                Figures: 0, Tables: 1, Equations: 0, References: 14, Pages: 0, Words: 0
                Funding
                Funded by: Italian Ministry of Health—Ricerca Corrente
                Award ID:  
                The author(s) declare financial support was received for the research, authorship, and/or publication of this article.
                This research was funded by the Italian Ministry of Health—Ricerca Corrente. The Italian Ministry of Health has also paid the APCs (Article Processing Charges).
                Categories
                Surgery
                Review
                Custom metadata
                Orthopedic Surgery

                orthopedics,artificial intelligence,ai,chatgpt,patient education,clinical decision-making

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