Radiology
Dutch researchers conduct comprehensive analysis of stakeholder perspectives on AI implementation in radiology, identifying three critical themes for successful scaling.
Comprehensive review reveals AI’s transformative potential across the entire radiological workflow, from patient scheduling to diagnosis, while addressing critical implementation challenges.
New analysis reveals AI triage systems cutting critical imaging report times by over 50% in emergency departments, with concrete deployment strategies for healthcare systems.