Current Deployments

• Diagnostic support systems are one of the most mature AI applications in European hospitals
• University Hospital Essen (Germany) has implemented six AI algorithms that automatically flag critical findings on medical scans
• LMU University Hospital Munich partnered with deepc to integrate multiple CE-marked AI solutions into radiology workflows
• AI systems for mammography and CT scans can detect subtle anomalies that might be missed by human readers

Impact and Benefits

• AI mammography tools demonstrate remarkable accuracy in early cancer detection, sometimes rivaling human radiologists
• Beyond radiology, AI is used in pathology (detecting cancerous cells) and cardiology (analyzing ECGs)
• These tools serve as a "second pair of eyes," triaging normal vs. abnormal findings
• Supporting earlier and more accurate diagnoses while reducing radiologist workload
• Acting as a safety net to catch critical findings that might otherwise be missed