Skip to content

Author

Zhao-Le Gong

4 papers indexed here

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

Review Open access Sep 2026

Safety, accuracy, information quality, readability, and supportive communication of LLM-based chatbots in responses to researcher-developed consumer-oriented prompts on recurrent aphthous stomatitis: an exploratory cross-sectional comparative study

Recurrent aphthous stomatitis (RAS), commonly known as oral ulcers, is a frequent and painful oral mucosal condition that often prompts people to seek consumer health information before professional consultation. Although LLM-generated health advice has been studied in several clinical fields, multidimensional evid...

Yu-Long Wang, Jing-Jing Li, Zhao-Le Gong et al. · 0 citations
Review Open access Sep 2026

A comparative evaluation of generative AI chatbots for patient-oriented advice on painful diabetic peripheral neuropathy: safety, accuracy, guideline concordance, actionability, and readability

The five generative AI chatbots compared showed distinct performance patterns across content quality and readability, with ChatGPT generally achieved higher content-related scores, whereas Doubao scored lower.

Li-Na Gu, Zhao-Le Gong, Xiao-Li Qian et al. · 0 citations
#generative ai Open access Sep 2026

A comparative cross-sectional evaluation of generative AI chatbots for patient-oriented bacterial vaginosis health advice: safety, accuracy, guideline concordance, empathy, and readability

This exploratory study characterizes a recorded sample of specific chatbot responses, not stable or repeatable performance characteristics, and establishes a stable ranking of underlying model capability, clinical effectiveness, or suitability for unsupervised care.

Ling Miao, Li-Na Gu, Zhao-Le Gong et al. · 0 citations
Review Open access Aug 2026

Evaluation of generative AI-driven chatbots as sources of consumer health information on hand, foot, and mouth disease: a cross-sectional comparative study of safety, accuracy, information quality, readability, and empathy

Across a limited set of standardized English-language prompts, the five chatbots often generated coherent HFMD information, but occasional safety-relevant inaccuracies and readability barriers remained, suggesting these systems may support general information seeking but should not replace individualized professional a...

Zhao-Le Gong, Yan Na, Yi Guo et al. · 0 citations

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.