Assessment of Appearance-related Questions About Breast Reconstruction Generated by Chat Generative Pre-trained Transformer

Plastic & Reconstructive Surgery Global Open, Journal Year: 2025, Volume and Issue: 13(3), P. e6625 - e6625

Published: March 1, 2025

Background: Previous studies have explored the ability of artificial intelligence (AI) tools based on large language models, such as Chat Generative Pre-Trained Transformer (ChatGPT), to answer patient questions about breast reconstruction. In this study, we assessed quality generated by ChatGPT for reconstruction patients ask their providers. Methods: was prompted generate appearance-related representative what might during consultations. As a benchmark, comparison group from credible online sources compiled. Blinded source, surgeons in terms acceptability, contribution informed consent process, and shared decision-making process. Surgeons were also asked report agreement whether an AI tool. Results: Experienced reconstructive rated ChatGPT-generated outcomes acceptable (15 16), likely positively contribute process (16 16). These ratings comparable those benchmark questions. did not readily recognize being AI-generated. Differences surgeon assessments most pronounced regarding perceived potential Conclusions: The related appearance concerns is that sourced reputable websites. Patients may benefit discussion with providers best practices using preparation

Language: Английский

Comment on: Predicting Glaucoma Before Onset Using a Large Language Model Chatbot

American Journal of Ophthalmology, Journal Year: 2024, Volume and Issue: 266, P. 321 - 321

Published: July 20, 2024

Language: Английский

Bibliometric analysis of ChatGPT and plastic surgery research: Insights from diverse search strategies and co-word analysis

Chinese Journal of Plastic and Reconstructive Surgery, Journal Year: 2024, Volume and Issue: unknown

Published: Oct. 1, 2024

Language: Английский