This technique combines cloud labeling systems, medical imaging model databases, and medical AI techniques (such as visualized heat maps) with multiple models. It establishes an AI breast cancer screening assistant by multi-perspective determination like doctors to improve screening accuracy. The three-stage breast cancer screening process rapidly provides results in 10 days to enable early treatments for people with high cancer risks.