ArticleJPRAS open2024
Quality of the Information provided by ChatGPT for Patients in Breast Plastic Surgery: Are we already in the future?
Article in JPRAS open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
What it found
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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.
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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.
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Who cites it
18 citing papers in PubMed, 21 citations in OpenAlex.
- Comparative Evaluation of Large Language Models in the Recognition of Postoperative Complications Following Aesthetic Surgery.Aesthetic plastic surgery · 2026Article
- A Comparative Assessment of Large Language Models in Congenital Hypothyroidism: Reliability, Quality and ReadabilityJournal of clinical research in pediatric endocrinology · 2026Article
- Assessing ChatGPT and Gemini Responses to Common Patient Questions Regarding Augmentation Mammaplasty.Aesthetic plastic surgery · 2026Article
- Artificial Intelligence and Esthetics: Redefining Precision and Beauty in Plastic Surgery.Medicina (Kaunas, Lithuania) · 2026Review
- Transforming plastic surgery: an innovative role of Chat GPT in plastic surgery practices.Updates in surgery · 2026Review
- Comparative evaluation of the quality, reliability, and readability of five large language model responses to frequently asked questions on gestational hypertension.Frontiers in public health · 2026Article
- Benchmarking readability, reliability, and scientific quality of large language models in communicating organoid science.Frontiers in bioengineering and biotechnology · 2026Article
- Evaluating Surgical Results in Breast Cancer with Artificial Intelligence.Aesthetic plastic surgery · 2025Article
- Evaluating large language models in patient education on facial plastic surgery: a standardized protocol.International journal of surgery protocols · 2025Article
- Artificial Intelligence for Individualized Radiological Dialogue: The Impact of RadioBot on Precision-Driven Medical Practices.Journal of personalized medicine · 2025Article
- Performance of Artificial Intelligence Chatbots in Answering Clinical Questions on Japanese Practical Guidelines for Implant-based Breast Reconstruction.Aesthetic plastic surgery · 2025Article
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- Letter to the editor regarding "quality of the information provided by ChatGPT for patients in breast plastic surgery: Are we already in the future?"JPRAS open · 2024Article
- Retrospective registry-based nationwide analysis of the COVID-19 lockdown effect on the volume of general and visceral non-malignant surgical procedures.Surgery in practice and science · 2024Article
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Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Introduction: In recent years, artificial intelligence (AI) has gained popularity, even in the field of plastic surgery. It is increasingly common for patients to use the internet to gather information about plastic surgery, and AI-based chatbots, such as ChatGPT, could be employed to answer patients' questions.The aim of this study was to evaluate the quality of medical information provided by ChatGPT regarding three of the most common procedures in breast plastic surgery: breast reconstruction, breast reduction, and augmentation mammaplasty. Methods: The quality of information was evaluated through the expanded EQIP scale. Responses were collected from a pool made by ten resident doctors in plastic surgery and then processed by SPSS software ver. 28.0. Results: The analysis of the contents provided by ChatGPT revealed sufficient quality of information across all selected topics, with a high bias in terms of distribution of the score between the different items. There was a critical lack in the "Information data field" (0/6 score in all the 3 investigations) but a very high overall evaluation concerning the "Structure data" (>7/11 in all the 3 investigations). Conclusion: Currently, AI serves as a valuable tool for patients; however, engineers and developers must address certain critical issues. It is possible that models like ChatGPT will play an important role in improving patient's consciousness about medical procedures and surgical interventions in the future, but their role must be considered ancillary to that of surgeons.
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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.