Imaging artificial intelligence (AI) platform and software provider Blackford and image analysis software firm Bialogics have formed a partnership.
Under the collaboration, Bialogics' DImax enterprise analytics software will enable Blackford customers to extract operational and clinical insights from their imaging data in real-time and facilitate the adoption of AI, according to the two companies.
Designed to create a closed-loop diagnostic imaging ecosystem, DImax integrates multiple sources of data into a single vendor-agnostic platform in order to improve documentation, measurement, and analysis of business performance, reimbursements, and clinical outcomes, the vendors said. It also provides real-time AI performance monitoring and can deidentify clinical data for extraction and use in AI and machine-learning research.
![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)
