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The 106th German Radiology Congress (RÖKO), held from 28–30 May 2025 in Wiesbaden, brought together radiologists and imaging professionals from Germany, Austria and beyond to explore the latest advancements in diagnostic imaging, digital transformation and, most notably, AI.
With imaging teams under mounting pressure, RÖKO 2025 offered a timely platform for healthcare institutions to share how they’re leveraging AI to enhance patient care and support an overstretched workforce.
In case you missed it, here are some of the key highlights — showing that AI is no longer a nice-to-have but a must-have tool in modern radiology.
Just before the congress began, Asklepios — Germany’s largest private hospital group — announced that it’s deploying Aidoc’s aiOS™ platform across more than 25 of its hospitals. This represents the most extensive AI implementation in the country’s private healthcare sector to date and marks a major milestone in scalable clinical AI adoption. The rollout aims to support care teams and accelerate treatment decisions across the network.
Read the full announcement.
Two standout workshops provided real-world insight into how AI is being used to solve specific clinical challenges and support emergency workflows at two of Germany’s leading hospitals.
Pulmonary embolism (PE) is the third most common acute cardiovascular syndrome and can be fatal without fast diagnosis and treatment. Early initiation of treatment is associated with better outcomes, but with hospital admissions on the rise and increased demand for CT scans, it’s an increasing challenge to ensure treatment is expedited for the most critical cases.1
This session — hosted by UK Essen’s Johannes Haubold, Professor and Lead Senior Consultant Radiologist, and Daniel Messiha, MD, Senior Consultant Cardiologist — showed how they’re tackling these issues by integrating Aidoc’s aiOS™ platform into their radiology and PERT workflows2. The AI runs continuously in the background, flagging suspected cases of PE in real time to the radiologists and providing indicators, including the RV/LV ratio — an important predictor of adverse outcomes in acute PE, allowing for rapid decision-making by clinicians.
During the workshop, the team shared data showing how this AI-assisted triage and prioritisation has improved time-to-intervention and patient outcomes. Looking ahead, they explained how they plan to expand this model across a regional network of hospitals to create a connected PE care pathway.
Read about UK Essen’s full strategic partnership with Aidoc.
ukb focused its workshop on the operational challenges of emergency neuroimaging — particularly during nights and high-volume periods. Faced with growing scan loads and limited staff, maintaining diagnostic accuracy and speed is increasingly difficult.3
ukb demonstrated how it uses Aidoc’s aiOS™ platform to flag critical conditions, including stroke, cervical spine fractures and brain bleeds. These alerts are seamlessly embedded in the radiology workflow, enabling faster triage and escalation. Case studies highlighted how AI not only supported primary diagnosis but also flagged life-threatening incidental findings. The team stressed that true impact comes from rigorous workflow integration, continuous validation and interdisciplinary collaboration.
A consistent theme throughout RÖKO 2025 was the growing urgency to implement AI effectively and at scale. Discussions centred around orchestration, workflow integration and performance monitoring — highlighting the fact that not all AI platforms can offer the same level of ongoing clinical impact.
There’s now a palpable sense of momentum across Germany. As adoption accelerates, healthcare leaders are no longer asking if they should implement AI but how quickly. With solutions like Aidoc’s aiOS™ proving their value in both large-scale deployments and high-pressure clinical environments, radiology in Germany is entering a new era where smarter, faster and safer care isn’t just the goal but the standard.
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