Medical Intelligent Complex System refers to an autonomous system of a large number of medical tasks. In the process of continuous integration, mutual coupling and association, it is formed through a series of continuous development, deployment, update and adjustment processes. It is a reusable, portable and scalable large-scale application system with the characteristics of hardware-software integration, AI-expert collaboration, data circulation and self-evolution.

In the actual operation process, the mutual coupling and interacting elements of the system are constantly changing, with a series of characteristics such as "system of systems", continuous integration with the society, and continuous evolution. In the process of constructing and applying the Medical Intelligent Complex System, iFLYHealth follows the principles of growable structurization and adaptable evolution, makes the system evolve by establishing dynamic links between subsystems and by forming the mechanism of renewal. Also, we explore the behavior-feedback self-supervised learning technology, integrate the advantages of human group intelligence and machine intelligence by designing a series of behavior feedback and tracking mechanisms, realize the mutual communication and assistance between human and machine by implementing the active learning algorithm based on data and knowledge dual-driven strategy, make the system continuously evolve in the process of constantly adapting to the environment and the changing needs, so as to solve complex and important medical topics more effectively