Health systems across the U.S. are confronted with rising imaging volumes, a national radiologist shortage, and the urgent need to detect lung cancer earlier – yet low‑dose CT screening remains vastly underused. At the same time, radiology teams are expected to do more with less, often operating at full capacity as workloads grow. Learn how Siemens Healthineers and MetroHealth System collaborated to strengthen lung cancer screening workflows with AI‑Enablement Services (AIES) for lung nodule detection – a human‑centered AI service embedded directly into MetroHealth’s existing PACS. By streamlining routine tasks such as annotation and measurement, AIES reduced cognitive load, accelerated case review, and supported radiologists without requiring changes to how they work.
The results were clear: strong performance in detecting clinically relevant nodules, high radiologist satisfaction, and perceived time savings of 20 percent. MetroHealth is now scaling AIES across its network, demonstrating how thoughtfully integrated AI can enhance efficiency, strengthen diagnostic confidence, and expand access to screening for high‑need communities.
Download the full white paper to explore the complete findings and learn how AIES is helping reshape lung cancer screening workflows.