Scottsdale, AZ-based SimonMed Imaging has implemented AI developer iCAD's latest breast cancer detection software.
The outpatient imaging services provider has installed ProFound AI Version 3.0 at 170 of the company's sites across 11 states. The latest version was developed using over 5 million images from 30,000 cases, including almost 8,000 biopsy-proven cancers, and validated on approximately 1 million images from 3,500 cases that included 1,200 biopsy-proven cancers, SimonMed noted.
The software further increases sensitivity in detecting early breast cancer on 3D mammograms, company officials added.
![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&dpr=2&fit=crop&h=167&q=70&w=250)
