Evaluating Chatbot Efficacy for Answering Frequently Asked Questions in Plastic Surgery: A ChatGPT Case Study Focused on Breast Augmentation

Ishith Seth, Aram Cox, Yi Xie, Gabriella Bulloch, David J. Hunter-Smith, Warren M. Rozen, Richard J. Ross

Research output: Contribution to journalArticleResearchpeer-review

44 Citations (Scopus)

Abstract

BACKGROUND: The integration of artificial intelligence (AI) and machine learning (ML) technologies into healthcare is transforming patient-practitioner interaction and could offer an additional platform for patient education and support. OBJECTIVES: This study investigated whether ChatGPT-4 could provide safe and up-to-date medical information about breast augmentation that is comparable to other patient information sources. METHODS: ChatGPT-4 was asked to generate 6 commonly asked questions regarding breast augmentation and respond to them. Its responses were qualitatively evaluated by a panel of specialist plastic and reconstructive surgeons and reconciled with a literature search of 2 large medical databases for accuracy, informativeness, and accessibility. RESULTS: ChatGPT-4 provided well-structured, grammatically accurate, and comprehensive responses to the questions posed; however, it was limited in providing personalized advice and sometimes generated inappropriate or outdated references. ChatGPT consistently encouraged engagement with a specialist for specific information. CONCLUSIONS: Although ChatGPT-4 showed promise as an adjunct tool in patient education regarding breast augmentation, there are areas requiring improvement. Additional advancements and software engineering are needed to enhance the reliability and applicability of AI-driven chatbots in patient education and support systems.

Original languageEnglish
Pages (from-to)1126-1135
Number of pages10
JournalAesthetic Surgery Journal
Volume43
Issue number10
DOIs
Publication statusPublished - 14 Sept 2023

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