Systematic assessment of the medical utility of radiology and diagnostic Artificial Intelligence in fracture detection (SAMURAI-fracture): a protocol for a multicentre cluster-randomised controlled trial.
A rigorous trial design will test whether AI reduces fracture misses in emergency departments, where such errors commonly delay treatment.
This RCT protocol describes SAMURAI-fracture, a multicentre cluster-randomised trial comparing AI-assisted versus standard fracture detection in emergency settings, targeting one of the most common diagnostic errors in emergency medicine. The rigorous cluster-RCT design provides the highest-evidence-grade framework to evaluate real-world clinical AI impact.
What the study was
- Study design
- Protocol for multicentre cluster-randomised controlled trial
- Population
- Emergency department and minor injury unit patients with suspected fractures
- Category
- Diagnostics
- Maturity
- Exploratory
- Journal
- BMJ open
Why it surfaced
Cluster-RCT protocol for AI fracture detection addresses critical evidence gap; BMJ Open publication indicates methodology peer review.
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