Authors: Rani Singh , Sharath Kandhi , Ashwini Kshirsagar , Terri-Ann Gizienski

Abstract

Background: This case series highlights the role of Hologic Genius AI™ Detection solution in improving breast cancer detection rates. Through AI-driven technology, Genius AI Detection solution enhances the accuracy and efficiency of identifying suspicious breast lesions, leading to early diagnosis and intervention. By leveraging deep learning algorithms, Genius AI Detection solution provides actionable computer-aided detection (CAD) findings in identifying and aiding in the interpretation of potential abnormalities in breast tomosynthesis images. It also helps prioritize cases to potentially improve reading efficiency ultimately impacting breast imaging and patient care.

Case Presentation: We present three challenging cases from a routine screening population, wherein patients flagged as high-priority or suspicious for malignancy by Genius AI Detection solution were subsequently diagnosed with invasive ductal carcinoma (IDC), ductal carcinoma in situ (DCIS), and invasive lobular carcinoma that were all validated through biopsy and histopathological examination. We demonstrate the clinical utility of Hologic Genius AI Detection solution in detecting various types of breast cancers, including DCIS in a young patient with dense breast tissue and a family history of breast cancer, IDC in a patient with scattered fibroglandular densities and no family history, and invasive lobular carcinoma in a patient with similar breast density characteristics and no family history of breast cancer.

Conclusion: The cases exemplify how Hologic Genius AI Detection solution can potentially improve breast cancer detection in clinical practice.

Keywords: Artificial intelligence, breast cancer, mammography, Genius AI Detection, Hologic, green