Medical imaging AI company Avicenna.AI has received 510(k) clearance from the U.S. Food and Drug Administration (FDA) for its CINA-iPE and CINA-Aspects software.
CINA-iPE is an AI-powered tool that detects incidental pulmonary embolism during routine CT scans. The algorithm identifies lung blood clots detected during routine CT scans for a variety of health conditions. Scan types may include full-body scans, scans of the chest, abdomen, and pelvis, as well as scans of the thoracic area along with the abdomen and pelvis.
CINA-Aspects is for stroke severity assessment, automatically processing non-contrast CT scans and calculating the “Aspect” score. It is a topographic scoring system that quantifies the severity of a stroke from a CT scan of the brain. The software creates a heat map indicating the probability of hypodensity and sulcal effacement in the brain, displays a list of infarcted regions, and provides CT images corrected from tilt to easily compare the right and left hemispheres.
Additionally, CINA-Aspects also helps improve physicians’ reproducibility in Aspect scoring, which often varies depending on the radiologist reading the scan, the company noted.












![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&fit=crop&h=112&q=70&w=112)






