A prospective study of breast cancer screening with AI as first reader for likely normal mammographies

Initial results of screening with Transpara as first reader, in cases of likely normal FFDMs, reduced the reader workload by 29% and resulted in a lower recall rate, however not significantly so. More time is needed to collect additional data and to detect whether recall rate will safely decrease without sacrificing cancer detection rate. An ongoing study for future publication is currently monitoring rate of consensus conferences, level of reader agreement, interval cancer rate, and cancer detection rate.