ArticlePlastic and reconstructive surgery. Global open2025
Ethical Considerations for Generative Artificial Intelligence in Plastic Surgery.
Article in Plastic and reconstructive surgery. Global open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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.
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.
Who cites it
10 citing papers in PubMed.
- Comments on "A Comparative Study on the Use of DeepSeek-R1 and ChatGPT-4.5 in Different Aspects of Plastic Surgery".Aesthetic plastic surgery · 2026Article
- Plastic Surgery Search Engine Optimization in the Artificial Intelligence Era.Plastic and reconstructive surgery. Global open · 2026Article
- Validation of a Machine Learning-Derived Algorithm for the Measurement of Facial First Impressions.Aesthetic plastic surgery · 2026Article
- Editorial Policies on Artificial Intelligence in Plastic Surgery Publishing: Current Landscape and Future Directions.Aesthetic plastic surgery · 2026Article
- Large language model applications in facial plastic and reconstructive surgery: a systematic review of applications, performance, and ethical considerations.European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery · 2026Review
- Review
- Artificial intelligence analysis of minimally invasive surgery data.Journal of robotic surgery · 2026Review
- Transforming surgical ward rounds: constructivist pedagogy, structured models, and intelligent technologies.Frontiers in medicine · 2026Review
- Risk of Recall Among Plastic Surgery Devices Cleared Through the FDA 510(k) Pathway.Aesthetic surgery journal. Open forum · 2026Article
- Artificial Intelligence in Plastic Surgery: A Bibliometric and Visual Analysis of the 100 Most-Cited English-Language Publications.Aesthetic surgery journal. Open forum · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
The integration of artificial intelligence (AI) into surgical care is rapidly transforming healthcare by enhancing efficiency, clinical decision-making, and patient outcomes. Generative AI (genAI), a subfield using large language models such as ChatGPT, Bard, and Midjourney, holds significant promise in automating tasks such as surgical planning and discharge summaries. However, it raises concerns about misinformation, data breaches, biases, and misuse. No genAI technology has yet received Food and Drug Administration approval for surgical use, emphasizing the need for thorough regulatory evaluation. This article proposed 5 ethical principles, adapted from World Health Organization recommendations, to guide the adoption and governance of genAI in plastic surgery. These principles include ensuring data transparency, maintaining patient autonomy, prioritizing safety and accountability, promoting equity, and investing in sustainability. Each principle is illustrated with a hypothetical case to highlight potential ethical breaches and the importance of rigorous testing, clear communication, and continuous monitoring. By adhering to these guidelines, stakeholders can ensure that genAI serves to enhance patient care and uphold the highest standards of ethical practice in surgical settings.
Identifiers
What OpenQuestion holds
Registered trials
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.