Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Changchang Fang"'
Autor:
Xiaozhong Li, Jitao Ling, Qingwen Hu, Changchang Fang, Kaibo Mei, Yifan Wu, Jingyi Huang, Qin Ling, Yixuan Chen, Peng Yu, Xiao Liu, Juxiang Li
Publikováno v:
BMC Public Health, Vol 23, Iss 1, Pp 1-13 (2023)
Abstract Background Copper (Cu) homeostasis and Cu-induced cell death are gaining recognition as crucial processes in the pathogenesis of cardiovascular disease (CVD). Circulating Cu associated with CVD and mortality is yet to be fully elucidated. Ob
Externí odkaz:
https://doaj.org/article/54ea6c2c1d3342ef9d5cf2f26dde0932
Autor:
Peng Yu, Changchang Fang, Xiaolin Liu, Wanying Fu, Jitao Ling, Zhiwei Yan, Yuan Jiang, Zhengyu Cao, Maoxiong Wu, Zhiteng Chen, Wengen Zhu, Yuling Zhang, Ayiguli Abudukeremu, Yue Wang, Xiao Liu, Jingfeng Wang
Publikováno v:
JMIR Medical Education, Vol 10, p e48514 (2024)
BackgroundChatGPT, an artificial intelligence (AI) based on large-scale language models, has sparked interest in the field of health care. Nonetheless, the capabilities of AI in text comprehension and generation are constrained by the quality and vol
Externí odkaz:
https://doaj.org/article/c85dc4009e124d67a5de451c54eebc30
Autor:
Menglu Liu, Changchang Fang, Kaibo Mei, Jitao Ling, Wanying Fu, Xinrui Qi, Peng Yu, Zhiwei Yan, Liang Xu, Yujie Zhao, Xiaozhong Li, Xiao Liu
Publikováno v:
PLoS ONE, Vol 19, Iss 6, p e0300795 (2024)
BackgroundCopper (Cu) homeostasis are important processes in the cause of metabolic diseases, but the association between Cu and obesity remains unclear.MethodsParticipants were drawn from the 2011-2016 National Health and Nutrition Examination Surve
Externí odkaz:
https://doaj.org/article/a5fc9b0da3504bf2bda9ddc7bad65df2
Autor:
Changchang Fang, Yuting Wu, Wanying Fu, Jitao Ling, Yue Wang, Xiaolin Liu, Yuan Jiang, Yifan Wu, Yixuan Chen, Jing Zhou, Zhichen Zhu, Zhiwei Yan, Peng Yu, Xiao Liu
Publikováno v:
PLOS Digital Health, Vol 2, Iss 12 (2023)
Externí odkaz:
https://doaj.org/article/8bc4c5cc328f451db23fba8b12d92f21
Autor:
Changchang Fang, Jitao Ling, Jing Zhou, Yue Wang, Xiaolin Liu, Yuan Jiang, Yifan Wu, Yixuan Chen, Zhichen Zhu, Jianyong Ma, Ziwei Yan, Peng Yu, Xiao Liu
BackgroundChatGPT, an artificial intelligence (AI) system powered by large-scale language models, has garnered significant interest in the healthcare. Its performance dependent on the quality and amount of training data available for specific languag
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::86f5af95bfaee31b81ca397f3b21aed9
https://doi.org/10.1101/2023.05.03.23289443
https://doi.org/10.1101/2023.05.03.23289443
Autor:
Changchang Fang, Jitao Ling, Jing Zhou, Yue Wang, Xiaolin Liu, Yuan Jiang, Yifan Wu, Yixuan Chen, Zhichen Zhu, Jianyong Ma, Ziwei Yan, Peng Yu, Xiao Liu
BACKGROUND ChatGPT, an artificial intelligence (AI) system powered by large-scale language models, has garnered significant interest in the healthcare. Its performance dependent on the quality and amount of training data available for specific langua
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::513b13d5a9115fcb577b85a6a74994eb
https://doi.org/10.2196/preprints.48698
https://doi.org/10.2196/preprints.48698
Autor:
Xiao Liu, Changchang Fang, ZiWei Yan, Xiaoling Liu, Yuan Jiang, Zhengyu Cao, Maoxiong Wu, Zhiteng Chen, Jianyong Ma, Peng Yu, Wengen Zhu, Yangxin Chen, Yuling Zhang, Abudukeremu Ayiguli, Yue Wang, Jingfeng Wang
BACKGROUND The ChatGPT, a Large-scale language models-based Artificial intelligence (AI), has fueled interest in medical care. However, the ability of AI to understand and generate text is constrained by the quality and quantity of training data
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::95922e67d27fadac964df327c1a872cb
https://doi.org/10.2196/preprints.48514
https://doi.org/10.2196/preprints.48514
Performance of ChatGPT on Clinical Medicine Entrance Examination for Chinese Postgraduate in Chinese
Autor:
Xiao Liu, Changchang Fang, Ziwei Yan, Xiaoling Liu, Yuan Jiang, Zhengyu Cao, Maoxiong Wu, Zhiteng Chen, Jianyong Ma, Peng Yu, Wengen Zhu, Ayiguli Abudukeremu, Yue Wang, Yangxin Chen, Yuling Zhang, Jingfeng Wang
BackgroundThe ChatGPT, a Large-scale language models-based Artificial intelligence (AI), has fueled interest in medical care. However, the ability of AI to understand and generate text is constrained by the quality and quantity of training data avail
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5db5dd57d9b98f4056f2aa479e536a98
https://doi.org/10.1101/2023.04.12.23288452
https://doi.org/10.1101/2023.04.12.23288452