AI technology developer Blackford has partnered with Quantivly to make that company’s AI workflow software available on the Blackford Platform.
Quantivly offers a “digital twin” that models radiology operations and is designed to help facilities improve workflows. The software tracks the performance of physical assets (MRI and CT scanners), human workflows (radiologic technologists, radiologists, sedation teams), exam quality and safety, and department financial performance, for instance, and allows users to test different operational scenarios in-silico to improve operations, Blackford noted.
To date, Blackford’s platform offers healthcare providers access to a portfolio of more than 140 AI-driven products.
![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)
