Israeli artificial intelligence (AI) medical imaging start-up Aidoc has received the CE Mark for its deep learning based software for head and neck imaging.
The application is designed to augment radiologists' workflow by detecting a vast array of medical findings on imaging of the head and neck, saving time and helping radiologists to prioritize their readings, according to the vendor. Aidoc said radiologists could now choose to optimize their worklists by prioritizing cases based on the AI image analysis and other clinically available data.
The system can also be integrated directly into the software radiologists are currently using, according to the firm. The CE Marking was based on data collected in clinical trials, which compared the software with findings by unassisted radiologists, Aidoc added.
![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)
