Women's imaging firm Hologic said the U.S. Food and Drug Administration (FDA) has approved its premarket approval (PMA) application for the Clarity HD and Intelligent 2D imaging technologies.
Aimed at speeding up screening and analysis, Hologic's Clarity HD high-resolution 3D imaging technology is designed to reveal subtle lesions and fine calcifications, according to the vendor. Clarity HD's detector and 3D imaging algorithm team up to deliver high-quality 3D images, regardless of breast size or density, the company said.
In addition, Hologic said that its new Intelligent 2D imaging technology works with Clarity HD to enhance image quality and provide clarity, contrast, and detail at a lower dose. Both Clarity HD and Intelligent 2D imaging are now available on the firm's 3Dimensions digital breast tomosynthesis (DBT) system.
In other 3Dimensions developments, the company has added SmartCurve, a breast stabilization system for providing more comfortable mammograms without negatively affecting image quality, workflow, or dose. What's more, Hologic has released version 2.2 of its Quantra breast density assessment software, which utilizes a machine learning-based algorithm.
Hologic also reported that it has now installed more than 5,000 DBT systems in the U.S.
![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=100&q=70&w=100)







![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)









