Based on the existing technology level to clarify the value created by AI in medical imaging and the current situation of the industry, and analyze the possibility of improving the technology level from the view of technological development and explore the potential solutions;AI medical imaging is still using a small model cascade algorithm at this stage, which mainly plays the role of improving the efficiency of doctors, and cannot diagnose independently yet. The industry has a low technical barrier, fierce competition, and it is difficult to run through the business model；The performance optimization of existing small model cascade algorithms has peaked, and academics are exploring the algorithmic direction of LLM/LMM and memory-enhanced models, but new algorithmic structures that can effectively improve performance have not yet been found

Conduct in-depth research on the technical status quo and development trends of the three core elements of intelligent driving (algorithms, computing power, and data), and explore the challenges of commercial implementation, potential commercialization models, and value chain distribution of application scenarios such as ADAS and Robotaxi. Also, analyze its impact on the entire transportation industry