Blackford and Annalise.ai are entering a commercial partnership to bring Annalise’s CXR and CTB technologies to healthcare providers in Europe, the Middle East, and Africa via the Blackford Platform.
Blackford said that integrating Annalise.ai's technology into the Blackford Platform equips healthcare providers with tools for detecting multiple pathologies in chest x-rays and head CT scans.
Annalise’s technology helps radiologists by flagging, highlighting, and ordering cases based on different priority groups. It also creates draft reports that clinicians can verify and sign off.
The companies said that the collective goal is to bring about positive transformations in clinical workflows, improve reporting efficiency, and improve patient care.
![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.auntminnieeurope.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)
