Implementation of an artificial intelligence-based system for mammography in the compulsory medical insurance program: results of a 3-year study
CONCLUSIONS: Iterative testing with prospective real-world monitoring, interleaved developer updates, and radiologist feedback substantially enhanced mammography AI performance. This lifecycle testing methodology demonstrates feasibility for clinical integration and CMI program deployment, balancing rigorous validation with continuous improvement. Future work will focus on expanding the retrospective calibration testing dataset and scaling the approach to a national level within the CMI...