Evidence map›Paper›PMID 37853081›Full record

ArticleAesthetic plastic surgery2024

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

Hilary Y Liu, Mario Alessandri-Bonetti, José Antonio Arellano, Francesco M Egro

Abstract readScoping Review
PubMed Publisher
In one paragraph

Article in Aesthetic plastic surgery, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.5field-weighted citation impact, top 13% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed, 39 citations in OpenAlex.

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  9. Bibliometric analysis of ChatGPT in medicine.International journal of emergency medicine · 2024
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 1 institution in 1 country.

Hilary Y LiuDepartment of Plastic Surgery, University of Pittsburgh Medical Center, 1350 Locust Street, Pittsburgh, PA, G10315219, USA.
Mario Alessandri-BonettiDepartment of Plastic Surgery, University of Pittsburgh Medical Center, 1350 Locust Street, Pittsburgh, PA, G10315219, USA.
José Antonio ArellanoDepartment of Plastic Surgery, University of Pittsburgh Medical Center, 1350 Locust Street, Pittsburgh, PA, G10315219, USA.
Francesco M EgroDepartment of Plastic Surgery, University of Pittsburgh Medical Center, 1350 Locust Street, Pittsburgh, PA, G10315219, USA. francescoegro@gmail.com.ORCID 0000-0003-1536-7713
University of Pittsburgh Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundChatGPT, 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.

methodsA 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.

resultsThe 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.

conclusionWhile 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: 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 .

Indexed as

Artificial IntelligenceBibliometricsNatural Language ProcessingSurgery, PlasticHumansPlastic Surgery ProceduresArtificial intelligenceChatGPTClinical practiceEthicsMedical educationPatient educationPlastic surgeryResearch

Identifiers

PMID37853081
OpenAlexW4387732714

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.