https://orcid.org/0000-0003-0374-5166
Abstract
Objective
Artificial intelligence chatbot, particularly ChatGPT (Chat Generative Pre-trained Transformer), is capable of analyzing human input and generating human-like responses, which shows its potential application in healthcare. People with rosacea often have questions about alleviating symptoms and daily skin-care, which is suitable for ChatGPT to response. This study aims to assess the reliability and clinical applicability of ChatGPT 3.5 in responding to patients’ common queries about rosacea and to evaluate the extent of ChatGPT’s coverage in dermatology resources.
Methods
Based on a qualitative analysis of the literature on the queries from rosacea patients, we have extracted 20 questions of patients’ greatest concerns, covering four main categories: treatment, triggers and diet, skincare, and special manifestations of rosacea. Each question was inputted into ChatGPT separately for three rounds of question-and-answer conversations. The generated answers will be evaluated by three experienced dermatologists with postgraduate degrees and over five years of clinical experience in dermatology, to assess their reliability and applicability for clinical practice.
Results
The analysis results indicate that the reviewers unanimously agreed that ChatGPT achieved a high reliability of 92.22% to 97.78% in responding to patients’ common queries about rosacea. Additionally, almost all answers were applicable for supporting rosacea patient education, with a clinical applicability ranging from 98.61% to 100.00%. The consistency of the expert ratings was excellent (all significance levels were less than 0.05), with a consistency coefficient of 0.404 for content reliability and 0.456 for clinical practicality, indicating significant consistency in the results and a high level of agreement among the expert ratings.
Conclusion
ChatGPT 3.5 exhibits excellent reliability and clinical applicability in responding to patients’ common queries about rosacea. This artificial intelligence tool is applicable for supporting rosacea patient education.
Disclosure
Sihan Yan and Dan Du are co-first authors for this study. All authors declare no conflicts of interest in this work.