Conventional AI rapid medical diagnosis methods mainly use Fusion method comprehensive classification to process medical diagnosis data, which is vulnerable to the effect of data structure, resulting in low fitting of diagnostic features. Therefore, a new AI rapid medical diagnosis method needs to be designed based on motion injury data. That is to say, it processes the multi-source heterogeneous data of AI medical diagnosis, designs the AI medical rapid diagnosis model using the sports injury data, and constructs the AI medical rapid diagnosis expert platform, thus realizing the AI medical rapid diagnosis. The case analysis results show that the designed artificial intelligence medical rapid diagnosis method based on sports injury data has a high degree of fitting of diagnostic features, which proves that the designed artificial intelligence medical rapid diagnosis method has good diagnostic effect, accuracy, and certain application value, and has made certain contributions to promoting the development of intelligent medicine.