Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Kang, Yumiao"'
Autor:
Gao, Wanling, Huang, Yunyou, Cui, Dandan, Yu, Zhuoming, Liu, Wenjing, Liang, Xiaoshuang, Zhao, Jiahui, Xie, Jiyue, Li, Hao, Ma, Li, Ye, Ning, Kang, Yumiao, Luo, Dingfeng, Pan, Peng, Huang, Wei, Liu, Zhongmou, Hu, Jizhong, Zhao, Gangyuan, Jiang, Chongrong, Huang, Fan, Wei, Tianyi, Tang, Suqin, Xia, Bingjie, Zhang, Zhifei, Zhan, Jianfeng
A profound gap persists between artificial intelligence (AI) and clinical practice in medicine, primarily due to the lack of rigorous and cost-effective evaluation methodologies. State-of-the-art and state-of-the-practice AI model evaluations are lim
Externí odkaz:
http://arxiv.org/abs/2407.08554
Autor:
Gao, Wanling, Liu, Yuan, Yu, Zhuoming, Cui, Dandan, Liu, Wenjing, Liang, Xiaoshuang, Zhao, Jiahui, Xie, Jiyue, Li, Hao, Ma, Li, Ye, Ning, Kang, Yumiao, Luo, Dingfeng, Pan, Peng, Huang, Wei, Liu, Zhongmou, Hu, Jizhong, Huang, Fan, Zhao, Gangyuan, Jiang, Chongrong, Wei, Tianyi, Zhang, Zhifei, Huang, Yunyou, Zhan, Jianfeng
Artificial Intelligence (AI) plays a crucial role in medical field and has the potential to revolutionize healthcare practices. However, the success of AI models and their impacts hinge on the synergy between AI and medical specialists, with clinicia
Externí odkaz:
http://arxiv.org/abs/2406.07362
Autor:
Chen, Jiaqi, He, Zhuoying, Xu, Wenjuan, Kang, Yumiao, Zhu, Fengyu, Tang, Heng, Wang, Jianye, Zhong, Fei
Publikováno v:
Reproductive Biology & Endocrinology; 11/7/2024, Vol. 22 Issue 1, p1-15, 15p