基于前期我们已具备2000多例的正常人群、慢性肝炎、肝硬化、肝癌的临床资料（症状、体征、实验室结果、病毒学、蛋白组学和基因组数据）和血样品，以及自主开发的临床医学专家辅助诊疗系统（http://quan-med.com.cn/ceds-front/login.do），进一步开发和完善深度学习的医疗影像自动识别分析和病毒学、蛋白组学、基因组学的人工智能技术，并通过远程网络为医生、医学生、患者提供一种方便的、功能强大的智能诊断和治疗的平台；系统在输入症状、体征、检验结果和影像等信息的基础上，迅速给出哪种疾病的可能性大小及其治疗。通过该系统，实现病情-诊断-治疗之间锁定相关信息、数据，协助医生迅速做出正确的判断，有效地避免误诊、漏诊，从而希望达到“精准医疗”的作用和目的，以及达到HBV感染相关疾病包括肝脏肿瘤尤其是原发性肝癌从慢性肝炎-肝硬化-肝癌的演变和诊疗的分子模型。

Based on we have more than 2000 samples of normal people, chronic hepatitis, liver cirrhosis, liver cancer and clinical expert diagnosis and treatment system (http://quan-med.com.cn/ceds-front/login.do), to further develop the automatic identification of medical imaging analysis with deep learning and virology, proteomics, genomics. It provides a convenient and powerful intelligent diagnosis and treatment platform for doctors, medical students and patients through remote network. When input of symptoms, signs, laboratory results and images, the system quickly gives the possibility of disease and how to trear. Through the system, it will assist the doctor quickly to make the right diagnosis, effectively avoid misdiagnosis and missed diagnosis, and hope to reach the role of "precision treatment", and reach molecular model to predict HBV infection related liver diseases including the liver tumors, especially primary liver cancer form the evolution of chronic hepatitis, liver cirrhosis.