The Ludwig-Maximilians-University (LMU) Hospital in Munich, Germany, has established a partnership with Deepc to further deploy artificial intelligence (AI) algorithms through the company's deepcOS operating system.
Through the deepcOS platform, radiologists can gain access to numerous regulatory-cleared AI algorithms designed to help create more efficient workflows and improve patient treatment, according to the university. Algorithms for fracture recognition, orthopedic applications, and detection of intracranial hemorrhage have already been made available.
LMU Hospital is one of the largest facilities in Europe, treating over 500,000 patients annually at its two sites.
![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)
