Using AI to identify very likely normal cases that may not need a second reader assessment in a French breast cancer screening program (BCSP): a retrospective evaluation

Conclusion: Transpara can be used in the French screening program as an aid to the first reader, to identify 30% of very likely normal mammograms where double reading is not necessary. Combined with breast density, this volume could be increased to 43%.