Does AI truly save time in pediatric radiology? – Study Results | November 2025

A published study in Pediatric Radiology provides compelling evidence on the impact of Artificial Intelligence in diagnosing pediatric fractures.

“Small lesion–high risk: diagnostic performance of artificial intelligence in paediatric fractures with medicolegal impact”, Pediatric Radiology, by Johanna Pape, Olivier Johannes Deffaa, Peter Zimmermann, Martin Lacher, Franz Wolfgang Hirsch & Daniel Gräfe.

Key insights from the research:

• Time Efficiency: Using AI significantly reduces reading time for radiologists without compromising diagnostic accuracy.
• Enhanced Performance: The study highlights an improvement in sensitivity, particularly for subtle skeletal injuries in children, some of the most challenging cases to interpret.
• Workflow Optimization: AI acts as a vital safety net, mitigating cognitive fatigue during high-volume shifts and streamlining the entire decision-making process.

In pediatric imaging, where every second counts and precision is paramount, these findings confirm that AI is much more than a detection tool, it is a major lever for operational excellence.

At Milvue, we put these clinical insights at the core of our solutions, ensuring that practitioners have the speed and confidence they need to provide world-class care to their youngest patients.

Read the full study here: https://link.springer.com/article/10.1007/s00247-025-06456-3