Israeli artificial intelligence (AI) medical imaging start-up Aidoc has received the CE Mark for identifying and triaging pulmonary embolism on pulmonary CT angiograms using its deep learning-based software.
Aidoc's AI software identifies blood flow obstructions on pulmonary CT angiograms and flags critical exams for radiologists, helping them detect time-sensitive conditions more quickly, the company said.
A scientific presentation at ECR 2019, led by researchers from University Hospital Basel, is highlighting the capacity of Aidoc's AI software to facilitate the management of pulmonary embolism cases in alignment with conventional workflows.
AI software flags potential pulmonary embolisms detected on pulmonary CT angiograms. Image courtesy of Aidoc.
![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)
