Evidence map›Paper›PMID 38204870›Full record

ArticlePlastic and reconstructive surgery. Global open2024

Artificial Intelligence in Plastic Surgery: Insights from Plastic Surgeons, Education Integration, ChatGPT's Survey Predictions, and the Path Forward.

Yasser Farid, Luis Fernando Botero Gutierrez, Socorro Ortiz, Sabrina Gallego, Juan Carlos Zambrano, Humberto Uribe Morrelli, Alfredo Patron

Abstract read
In one paragraph

Article in Plastic and reconstructive surgery. Global open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
–field-weighted citation impact
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

15 citing papers in PubMed.

  1. Article
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  4. Review
  5. Five Tips for Learning Plastic Surgery in the Artificial Intelligence Era.Plastic and reconstructive surgery. Global open · 2026
    Article
  6. Article
  7. Review
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  10. Review
  11. Article
  12. Article
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  14. Article
  15. Is My Doctor Human? Acceptance of AI among Patients with Breast Cancer.Plastic and reconstructive surgery. Global open · 2024
    Article
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

7 authors.

Yasser FaridFrom the Department of Plastic and Reconstructive Surgery, University of Antioquia, Medellin, Colombia.
Luis Fernando Botero GutierrezQuirofanos El tesoro, Medellin, Antioquia, Colombia.
Socorro OrtizDepartment of Plastic and Reconstructive Surgery, Université Libre de Bruxelles, Brussels, Belgium.
Sabrina GallegoFrom the Department of Plastic and Reconstructive Surgery, University of Antioquia, Medellin, Colombia.
Juan Carlos ZambranoDepartment of Plastic and Reconstructive Surgery, University of Pontificia Javeriana, Bogota, Colombia.
Humberto Uribe MorrelliPrivate Practice, Bogota, Colombia.
Alfredo PatronFrom the Department of Plastic and Reconstructive Surgery, University of Antioquia, Medellin, Colombia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Artificial intelligence (AI) is emerging as a transformative technology with potential applications in various plastic surgery procedures and plastic surgery education. This article examines the views of plastic surgeons and residents on the role of AI in the field of plastic surgery. Methods: A 34-question survey on AI's role in plastic surgery was distributed to 564 plastic surgeons worldwide, and we received responses from 153 (26.77%) with the majority from Latin America. The survey explored various aspects such as current AI experience, attitudes toward AI, data sources, ethical considerations, and future prospects of AI in plastic surgery and education. Predictions from AI using ChatGPT for each question were compared with the actual survey responses. Results: The study found that most participants had little or no prior AI experience. Although some believed AI could enhance accuracy and visualization, opinions on its impact on surgical time, patient recovery, and satisfaction were mixed. Concerns included patient privacy, data security, costs, and informed consent. Valuable AI training data sources were identified, and there was agreement on the importance of standards and transparency. Respondents expected AI's increasing role in reconstructive and aesthetic surgery, suggesting its integration into residency programs, addressing administrative challenges, and patient complications. Confidence in the enduring importance of human professionals was expressed, with interest in further AI research. Conclusion: The survey's findings underscore the need to harness AI's potential while preserving human professionals' roles through informed consent, standardization, and AI education in plastic surgery.

Identifiers

PMID38204870
PMCPMC10781127

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.