Berlin-based Neo Q and Munich-based Deepc are teaming up to use artificial intelligence (AI) on radiology reporting with RadioReport.
The software maps the thought processes of experienced specialists and starts with anatomy to guide a physician through the entire radiology reporting process with 23 complete modules, similar to a virtual interview partner. The final result is a standardized, comprehensive report with 100% machine-readable content, according to the firms.
As part of the collaboration, RadioReport will be integrated into Deepc's AI platform, DeepcOS, which has more than 30 AI applications. The firm handles both the screening of all AI software and access for users through a universal interface. Radiologists will be able to access AI algorithms during the information technology (IT)-guided reporting process.
Neo Q and Deepc intend to establish new standards for a systematic and AI-supported radiology workflow with lower hurdles for use in clinical practice, they said.
![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)
