“With Genius AI Detection PRO, Hologic continues to lead the way in innovation for AI in breast imaging and cancer detection,” said Anderson. “By harnessing the latest advances in artificial intelligence and transformative workflow features, we continue to push the boundaries of science to revolutionize mammography and the future of women’s healthcare.”

On December 1 at RSNA, Hologic will also present the results of a recently published study demonstrating the performance of its Genius AI Detection 2.0 software across diverse patient populations. The study looked at more than 7,500 3D mammograms from women who identified as Asian, Black, Hispanic or white. Researchers found that the measured performance of the algorithm was similar across all cohorts evaluated, 8 illustrating its ability to deliver results that are not impacted by racial bias. Reducing racial bias in AI algorithms is a growing concern in healthcare.


In the South Hall, Booth #1919 at McCormick Place, attendees can experience Hologic’s Dimensions ® mammography portfolio, Envision Mammography Platform, Genius AI Detection 2.0 and Genius AI Detection PRO software, Affirm ® Contrast Biopsy software, I-View ® Contrast Enhanced Mammography software and a full suite of breast biopsy and surgery solutions. The company will also showcase recently acquired Endomag wireless breast surgery localization and lymphatic tracing solutions, including the Magseed ® marker, the Magtrace ® lymphatic tracer and the Sentimag ® platform.

Additionally, Hologic will host several workshops including:

Navigating Breast Localization: From Imaging to Surgery
Sunday, Dec. 1: 11:45 a.m.-12:45 p.m. CST (Room S502)
A panel discussion aiming to foster collaboration between radiologists and surgeons and discuss the latest advancements and best practices in breast localization to improve patient care and outcomes.

Enhancing Breast Cancer Detection: The Role of AI in Mammography
Tuesday, Dec. 3: 12-1 p.m. CST (Room S502)
This presentation will delve into the transformative impact of AI on breast cancer detection. Speakers will discuss how AI technologies, particularly machine learning and deep learning algorithms, are enhancing the accuracy, speed and reliability of breast cancer screening processes.

Innovative Advancements in Breast Cancer Screening: The Role of Contrast-Enhanced Mammography
Wednesday, Dec. 4: 12-1 p.m. CST (Room S502)
This presentation will explore contrast-enhanced mammography (CEM) in breast cancer detection. Speakers will talk about how CEM enhances traditional mammography by providing more detailed and accurate imaging, leading to improved diagnostic outcomes.

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