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Evaluate the accuracy of ChatGPT’s responses to diabetes questions and misconceptions

Detalles Bibliográficos
Autores principales:	Huang, Chunling, Chen, Lijun, Huang, Huibin, Cai, Qingyan, Lin, Ruhai, Wu, Xiaohong, Zhuang, Yong, Jiang, Zhengrong
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	BioMed Central 2023
Materias:	Letter to the Editor
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10369721/ https://www.ncbi.nlm.nih.gov/pubmed/37495984 http://dx.doi.org/10.1186/s12967-023-04354-6

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