AI integration in pediatric radiology: perspectives from international academic leaders.
Most pediatric radiology centers worldwide have implemented at least one artificial intelligence tool.
AI integration in pediatric radiology: perspectives from international academic leaders.
Artificial intelligence (artificial intelligence) is increasingly integrated into radiology, but pediatric imaging remains underrepresented in implementation studies.
To assess the current status, barriers, and enablers of artificial intelligence adoption in Pediatric Radiology from a global leadership perspective.
A cross-sectional international survey of department leaders and division chiefs from pediatric radiology centers worldwide was conducted.
Eighteen institutions completed the survey (69% response rate).
Other applications included image segmentation and quantification (22.2%), imaging protocol optimization (16.7%), and natural language processing (16.7%).
The mean clinical impact rating was 3.56/5, with only 16.7% describing artificial intelligence as "transformational." The most frequently cited barriers were lack of pediatric-specific datasets (83.3%), integration challenges (66.7%), high cost or unclear return on investment (return on investment) (50%), and cybersecurity concerns (44.4%).
Global pediatric radiology leaders report cautious but growing artificial intelligence adoption.
Addressing pediatric data scarcity, enhancing multicenter collaboration, and prioritizing clinical integration and sustainability will be essential for safe and effective deployment.
KEY POINTS: Question How are leading pediatric radiology centers worldwide implementing artificial intelligence, and what institutional barriers and enablers determine successful clinical integration?