Radiologendagen 2025, held Could 22–23 on the 1931 Congrescentrum in ’s-Hertogenbosch, introduced collectively radiologists from throughout the Netherlands to discover new frontiers in medical imaging. This yr’s theme, “Imaging in Steadiness: Take care of the Skilled and the Planet,” targeted on each environmental and workforce sustainability.
Towards the backdrop of staffing shortages — highlighted by the current EU-REST examine, which confirmed that the Netherlands has far fewer radiologists than the European common — AI stood out as a promising resolution to help a extra sustainable workforce. All through the occasion, main hospitals, together with OLVG in Amsterdam, shared real-world proof of how AI is already serving to to ease strain on medical groups, enhance collaboration with different clinicians and create a extra sustainable workforce.
AI as a Downside Solver and a Connector
Some of the insightful periods of the convention was the lunch symposium hosted by OLVG titled “A.I. als praktische problemsolver en connector voor de acute radiologie”, introduced by Dr. Annet Driessen-Waaijer and Dr. Carolien Toxopeus.
Confronted with an amazing imaging workload, the OLVG group applied AI out of necessity. What adopted wasn’t simply improved effectivity, however a cultural shift throughout the hospital. The audio system described AI as each a “drawback solver” and a “connector” — a instrument that enhanced medical outcomes whereas strengthening collaboration between the Radiology Division and clinicians throughout different departments.
One highly effective instance shared by the group concerned utilizing AI to enhance affected person movement of their overstretched Emergency Division (ED). As the quantity of head CT scans rose, OLVG launched AI to routinely flag suspected intracranial haemorrhages. These alerts had been despatched concurrently to each the Radiology and ED groups.
The end result was sooner decision-making and care supply, improved cross-departmental collaboration and extra environment friendly use of radiologists’ time. ED physicians felt extra empowered to make selections, whereas radiologists might focus their experience on the extra complicated instances. The initiative not solely boosted doctor effectivity but additionally bolstered teamwork and diminished burnout — showcasing how AI, when thoughtfully built-in, is usually a driver for enhanced clinician well-being.
Medical Proof: Two Research that Caught Consideration
OLVG’s dedication to medical excellence continued with two compelling scientific abstracts, each additional highlighting the real-world affect of AI on affected person outcomes and workforce resilience.
- “Can AI Do Higher? Retrospective Analysis of Aidoc’s Algorithm for Detection of Intracranial Arterial Occlusions” showcased how AI improved consciousness of cerebral vascular occlusions by 8%, figuring out instances — significantly within the posterior circulation — that might in any other case be troublesome to establish in a high-pressure, busy ED. That is particularly related for nighttime workflows, when specialised neuroradiology protection is usually unavailable.1
- “Analysis of AI Algorithm Use for CT Cervical Backbone Trauma by Aidoc” targeted on the combination of Aidoc’s cervical backbone fracture algorithm of their ED workflow. The examine demonstrated that with focused coaching and considerate workflow integration — together with unfavorable predictive worth above 99.45% — the answer diminished radiologist workload, improved ED movement and strengthened cross-departmental collaboration.2
In recognition of this pioneering work, OLVG acquired an award for the cervical backbone trauma examine — a well-earned acknowledgment of their management in safely and successfully deploying AI in acute care settings.
Wanting Forward
Radiologendagen 2025 made it clear that AI in radiology is not experimental — it’s a sensible, scalable instrument for constructing a extra sustainable future. As hospitals face rising calls for, restricted assets and rising burnout, AI is rising not simply as a medical asset however as a strategic necessity.
As demonstrated by OLVG, considerate implementation of AI can scale back workload, strengthen cross-team collaboration and enhance affected person outcomes. In doing so, it helps construct Radiology Departments that aren’t solely extra environment friendly but additionally extra resilient — higher outfitted to take care of each professionals and sufferers alike.
References
- Can AI Do Higher? Retrospective Analysis of Aidoc’s Algorithm for Detection of Intracranial Arterial Occlusions, Summary, Radiologendagen 2025
- Analysis of AI Algorithm Use for CT Cervical Backbone Trauma by Aidoc, Summary, Radiologendagen 2025.