Multimodal machine learning enables AI chatbot to diagnose ophthalmic diseases and provide high-quality medical responses
Ruiqi Ma(Fudan University), Chen Zhao(Fudan University), Jingjing Liao(IPB University), Baoqing Nie(University of California, Davis), Xintong Lin(Chinese Academy of Medical Sciences & Peking Union Medical College), Hongguang Cui(First Affiliated Hospital Zhejiang University), Bing Qin(Harbin Institute of Technology), Xiawei Wang(University of California, Davis), Yunqiu Zhang(Fudan University), Dehui Xiang(Soochow University), Zhiyu Peng(BGI Group (China)), Xiangjia Zhu(Eye & ENT Hospital of Fudan University), Jin-Wei Cheng(Chinese Academy of Medical Sciences & Peking Union Medical College), Fei Shi(Soochow University), Weifang Zhu(First Affiliated Hospital Zhejiang University), Wenjun Shu(Shanghai Medical College of Fudan University), Jiaxu Hong(Eye & ENT Hospital of Fudan University), Pengfei Jiang(Shanghai Jiao Tong University), Weiyi Xia(Chinese Academy of Medical Sciences & Peking Union Medical College), Xinjian Chen(Soochow University), Jie Guo(Shenzhen University), Jie Lu(Shanghai Medical College of Fudan University), Lu Gan(Chinese Academy of Medical Sciences & Peking Union Medical College), Haifeng Chen(NEC (United States)), Jiangtao Wang(Chinese Academy of Medical Sciences & Peking Union Medical College), Jiang Zhu(Soochow University), Mingxu Yan(Shanghai Medical College of Fudan University), Qin Jiang(Second Affiliated Hospital of Nanjing Medical University), Jinghan Wang(Nanjing Medical University), Jing Yao(Chinese Academy of Medical Sciences & Peking Union Medical College), Kang Xue(Chinese Academy of Medical Sciences & Peking Union Medical College), Lejin Tian(Fudan University), Xiaofeng Li(Guangxi Veterinary Research Institute), Qian Cheng(Soochow University), Rui Zhang(Shanghai University of Engineering Science), Yue Zhao(Tulane University)
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