Medical imaging AI company Avicenna.AI has received the CE mark for two AI tools for spine imaging.
One tool is the Cina-VCF Quantix, a new AI algorithm designed to detect and assess unsuspected vertebral compression fractures in patients undergoing CT scans for unrelated conditions. The other is the Cina-CSpine, an AI tool designed to detect and triage cervical spine fractures from CT images.
Cina-VCF Quantix is intended for patients aged 50 and older undergoing CT scans of the chest and/or abdomen for other conditions. It automatically labels vertebrae and calculates vertebral height loss ratios in the thoracic and lumbar spine. If a vertebral height loss ratio exceeds 20% to 25%, meaning moderate to severe fractures, the tool generates a passive notification.
Cina-CSpine automatically flags suspected acute cervical spine fractures. This alerts radiologists through their existing systems.
![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)
