Background Patients with painful diabetic peripheral neuropathy (PDPN) increasingly use generative artificial intelligence chatbots for information on symptoms, treatment, foot care, and when to seek professional help. Their usefulness depends on safety, accuracy, guideline concordance, actionability, and readability....
Li-Na Gu, Zhao-Le Gong, Xiao-Li Qian et al.· Frontiers in Public Health· 0 citations
Bacterial vaginosis (BV) concerns involve intimate symptoms, stigma, diagnostic uncertainty, medication use, pregnancy, sexual health, and self-care. Publicly accessible generative artificial intelligence chatbots offer immediate and potentially non-judgmental information, but the quality and safety of specific res...
Ling Miao, Li-Na Gu, Zhao-Le Gong et al.· Frontiers in Reproductive He...· 0 citations
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.· Frontiers in Public Health· 0 citations
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