Hologic will showcase its women's health offerings at ECR 2024 by unveiling new research in AI tied to the Genius AI Detection system.
Women's imaging specialist and study author Sarah Friedewald, MD, from Northwestern Memorial Hospital and the Feinberg School of Medicine, will share how the system matches pairs of regions of interest in different views. In a Hologic news release, Friedewald said the presentation will underscore that deep-learning technology can supplement radiologist workflow, particularly across the breast health spectrum.
Friedewald will also present research highlighting how the Genius AI Detection algorithm can help radiologists identify potential cancers on mammograms previously interpreted as normal. In a third study, research will show how Hologic’s deep learning-based AI algorithm can help enhance performance.
Hologic will also host a contrast-enhanced mammography (CEM) symposium on Thursday, February 29, co-sponsored by Hologic and Bayer. The event will be facilitated by breast imaging radiologists Jacopo Nori, MD, from Careggi University Hospital in Florence, Italy, and Marc Lobbes, MD, PhD, from the Zuyderland Medical Center in Sittard-Geleen, the Netherlands.











![A normal mammogram confirmed by three-year radiologic follow-up illustrates reader-marked regions of interest (ROIs) during (A) unaided (round 1) and (B) artificial intelligence (AI)–assisted (round 2) reading. Each colored dot represents an ROI for recall by a human reader. Readers could mark more than one ROI per case, represented by multiple dots of the same color. During AI-assisted reading, the AI system displayed three visible prompts: two with suspicion of malignancy scores of 35% (left mediolateral oblique [L MLO] and craniocaudal [L CC]) and one with a suspicion of malignancy score of 10% (right craniocaudal [R CC]), shown as polygonal overlays. Without AI, six of 10 readers (60%) marked a false-positive ROI. With AI assistance, this fell to two of 10 (20%). R MLO = right mediolateral oblique.](https://img.auntminnie.com/mindful/smg/workspaces/default/uploads/2026/07/2026-07-14-radiology-mammogram-ai-auto-bias.H0bYO8QlWs.jpg?auto=format%2Ccompress&fit=crop&h=112&q=70&w=112)






