Genius AI Detection technology from Hologic uses deep learning to detect potential cancers in breast tomosynthesis images. 1 Designed to find cancers with improved accuracy as compared to Hologic’s previous generation conventional 2D CAD, the software is fully integrated on the 3Dimensions and Selenia Dimensions systems. Genius AI Detection technology can aid in radiologists’ diagnostic performance with the use of the technology resulting in an improvement of +9% in observed reader sensitivity for detecting cancer cases compared to standalone review. 1 The software can also potentially improve workflow efficiency by displaying results directly at the acquisition workstation to provide point-of-care triaging for Genius AI Detection technology high-priority cases or negative-findings cases.
References
1 FDA Clearance K201019. Based on analyses that do not control type 1 error and therefore cannot be generalized to specific comparisons outside this particular study. In this study: The average observed AUC was 0.825 (95% CI: 0.783, 0.867) with CAD and 0.794 (94% CI: 0.748, 0.840) without CAD. The difference in observed AUC was +0.031 (95% CI: 0.012, 0.051). The average observed reader sensitivity for cancer cases was 75.9% with CAD and 66.8% without CAD. The difference in observed sensitivity was +9.0% (99% CI: 6.0%, 12.1%). The average observed recall rate for non-cancer cases was 25.8% with CAD and 23.4% without CAD. The observed difference in negative recall rate was +2.4% (99% CI: 0.7%, 4.2%). The average observed case read-time was 52.0s with CAD and 46.3s without CAD. The observed difference in read-time was 5.7s (95% CI: 4.9s to 6.4s).
