The work is an intelligent product design track, which is based on multi-modal fusion and deep learning of lung disease intelligent diagnosis system. The core functions cover four modules: multi-modal fusion diagnosis module, which supports automatic segmentation of lung lesions, prediction of diseases such as atrial fibrillation and sepsis, and can handle modal missing scenarios; The model management module realizes model classification, retrieval, version management and performance evaluation. The data management module provides data set preprocessing, multi-modal image labeling, graphical display and database recycle bin functions. The system management module is responsible for user information, role and authority management. At the same time, the use of federal learning, blockchain group learning technology to ensure data security, integration of three-dimensional visualization engine and natural language processing technology, support multi-angle image display and structured diagnostic report automatic generation, to help primary hospital diagnosis work, promote AI medical landing.