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ETHNOS_APP

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Chuanqing Li

Dados Biográficos

ID8317332
NOMEChuanqing Li
PRENOMESChuanqing
SOBRENOMELi
ASSINATURALI C
AFILIAÇÕESShenzhen Maternity and Child Healthcare Hospital
ORCID0000-0002-6605-4082
VERIFICADOSim
TOTAL DE OBRAS1
TOTAL DE CITAÇÕES0
OBRAS COMO AUTOR1
OBRAS COMO EDITOR0
PRIMEIRO ANO DE PUBLICAÇÃO2026
ANO MAIS RECENTE DE PUBLICAÇÃO2026
ÍNDICE H0
  • Evaluation of validity, reliability, and readability of AI chatbots for gestational diabetes mellitus

    Open Access•Xinxin Wang, Shuyan Lin et al.•ARTICLE•Frontiers in Public Health•2026

    Background: Gestational diabetes mellitus (GDM) is increasingly prevalent worldwide and is associated with substantial short- and long-term risks for mothers and offspring, making high-quality, accessible health information essential. At the same time, artificial intelligence (AI) chatbots based on large language models are being widely used for health queries, yet their accuracy, reliability and readability in the context of GDM remain unclear. …

Sem obras proeminentes nesta página.

  • Evaluation of validity, reliability, and readability of AI chatbots for gestational diabetes mellitus

    Open Access•Xinxin Wang, Shuyan Lin et al.•ARTICLE•Frontiers in Public Health•2026

    Background: Gestational diabetes mellitus (GDM) is increasingly prevalent worldwide and is associated with substantial short- and long-term risks for mothers and offspring, making high-quality, accessible health information essential. At the same time, artificial intelligence (AI) chatbots based on large language models are being widely used for health queries, yet their accuracy, reliability and readability in the context of GDM remain unclear. …

Alternative medicine (1 obra) · Artificial Intelligence in Healthcare and Education (1 obra) · Chatbot (1 obra) · Gestational diabetes (1 obra) · Gestational Diabetes Research and Management (1 obra) · Mobile Health and mHealth Applications (1 obra) · Patient education (1 obra) · Readability (1 obra)

Ethnos_APP • Projeto Open Source • Licença MIT • Frontend v2.0.0 • Privacidade e Cookies • Documentação da API: api.ethnos.app/docs • Código da API: GitHub • DOI: 10.5281/zenodo.17049435 • Código do Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae