Can ChatGPT be the Plastic Surgeon's New Digital Assistant? A Bibliometric Analysis and Scoping Review of ChatGPT in Plastic Surgery Literature.

Artificial intelligence ChatGPT Clinical practice Ethics Medical education Patient education Plastic surgery Research

Journal

Aesthetic plastic surgery
ISSN: 1432-5241
Titre abrégé: Aesthetic Plast Surg
Pays: United States
ID NLM: 7701756

Informations de publication

Date de publication:
18 Oct 2023
Historique:
received: 19 08 2023
accepted: 30 09 2023
medline: 19 10 2023
pubmed: 19 10 2023
entrez: 18 10 2023
Statut: aheadofprint

Résumé

ChatGPT, an artificial intelligence (AI) chatbot that uses natural language processing (NLP) to interact in a humanlike manner, has made significant contributions to various healthcare fields, including plastic surgery. However, its widespread use has raised ethical and security concerns. This study examines the presence of ChatGPT, an artificial intelligence (AI) chatbot, in the literature of plastic surgery. A bibliometric analysis and scoping review of the ChatGPT plastic surgery literature were performed. PubMed was queried using the search term "ChatGPT" to identify all biomedical literature on ChatGPT, with only studies related to plastic, reconstructive, or aesthetic surgery topics being considered eligible for inclusion. The analysis included 30 out of 724 articles retrieved from PubMed, focusing on publications from December 2022 to July 2023. Four key areas of research emerged: applications in research/creation of original work, clinical application, surgical education, and ethics/commentary on previous studies. The versatility of ChatGPT in research, its potential in surgical education, and its role in enhancing patient education were explored. Ethical concerns regarding patient privacy, plagiarism, and the accuracy of information obtained from ChatGPT-generated sources were also highlighted. While ethical concerns persist, the study underscores the potential of ChatGPT in plastic surgery research and practice, emphasizing the need for careful utilization and collaboration to optimize its benefits while minimizing risks. This journal requires that authors assign a level of evidence to each article. For a full description of these Evidence-Based Medicine ratings, please refer to the Table of Contents or the online Instructions to Authors www.springer.com/00266 .

Sections du résumé

BACKGROUND BACKGROUND
ChatGPT, an artificial intelligence (AI) chatbot that uses natural language processing (NLP) to interact in a humanlike manner, has made significant contributions to various healthcare fields, including plastic surgery. However, its widespread use has raised ethical and security concerns. This study examines the presence of ChatGPT, an artificial intelligence (AI) chatbot, in the literature of plastic surgery.
METHODS METHODS
A bibliometric analysis and scoping review of the ChatGPT plastic surgery literature were performed. PubMed was queried using the search term "ChatGPT" to identify all biomedical literature on ChatGPT, with only studies related to plastic, reconstructive, or aesthetic surgery topics being considered eligible for inclusion.
RESULTS RESULTS
The analysis included 30 out of 724 articles retrieved from PubMed, focusing on publications from December 2022 to July 2023. Four key areas of research emerged: applications in research/creation of original work, clinical application, surgical education, and ethics/commentary on previous studies. The versatility of ChatGPT in research, its potential in surgical education, and its role in enhancing patient education were explored. Ethical concerns regarding patient privacy, plagiarism, and the accuracy of information obtained from ChatGPT-generated sources were also highlighted.
CONCLUSION CONCLUSIONS
While ethical concerns persist, the study underscores the potential of ChatGPT in plastic surgery research and practice, emphasizing the need for careful utilization and collaboration to optimize its benefits while minimizing risks.
LEVEL OF EVIDENCE V METHODS
This journal requires that authors assign a level of evidence to each article. For a full description of these Evidence-Based Medicine ratings, please refer to the Table of Contents or the online Instructions to Authors www.springer.com/00266 .

Identifiants

pubmed: 37853081
doi: 10.1007/s00266-023-03709-0
pii: 10.1007/s00266-023-03709-0
doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

© 2023. Springer Science+Business Media, LLC, part of Springer Nature and International Society of Aesthetic Plastic Surgery.

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Auteurs

Hilary Y Liu (HY)

Department of Plastic Surgery, University of Pittsburgh Medical Center, 1350 Locust Street, Pittsburgh, PA, G10315219, USA.

Mario Alessandri-Bonetti (M)

Department of Plastic Surgery, University of Pittsburgh Medical Center, 1350 Locust Street, Pittsburgh, PA, G10315219, USA.

José Antonio Arellano (JA)

Department of Plastic Surgery, University of Pittsburgh Medical Center, 1350 Locust Street, Pittsburgh, PA, G10315219, USA.

Francesco M Egro (FM)

Department of Plastic Surgery, University of Pittsburgh Medical Center, 1350 Locust Street, Pittsburgh, PA, G10315219, USA. francescoegro@gmail.com.

Classifications MeSH