Comparative evaluation of the accuracy and reliability of ChatGPT versions in providing information on Helicobacter pylori infection

作者：Yi Ye, En-Dian Zheng, Qiao-li Lan, Le-Can Wu, Haoyue Sun, Beibei Xu, Ying Wang, Miaomiao Teng · 发表于：Frontiers in Public Health · 年份：2025 · DOI：10.3389/fpubh.2025.1566982 · 被引用次数：7 · 研究领域：Artificial Intelligence in Healthcare and Education、Genomics and Rare Diseases、Electronic Health Records Systems

Objective: (Hp) infection, as well as to explore their potential applications within the healthcare domain. Methods: A panel of experts compiled and refined a set of 27 clinical questions related to Hp. These questions were presented to each ChatGPT version, generating three distinct sets of responses. The responses were evaluated and scored by three gastroenterology specialists utilizing a 5-point Likert scale, with an emphasis on accuracy and comprehensiveness. To assess response stability and reliability, each question was submitted three times over three consecutive days. Results: < 0.0001). ChatGPT-4o demonstrated the best performance, achieving an average score of 4.46 (standard deviation 0.82) points. Despite its high accuracy, ChatGPT-4o exhibited relatively low repeatability. In contrast, ChatGPT-3.5 exhibited the highest stability, although it occasionally provided incorrect answers. In terms of readability, ChatGPT-4 achieved the highest Flesch Reading Ease score of 24.88 (standard deviation 0.44), however, no statistically significant differences in readability were observed among the versions. Conclusion: All three versions of ChatGPT were effective in addressing Hp-related questions, with ChatGPT-4o delivering the most accurate information. These findings suggest that artificial intelligence-driven chat models hold significant potential in healthcare, facilitating improved patient awareness, self-management, and treatment compliance, as well as supporting physic...