AJR Expert Panel: Pediatric AI Needs Dedicated Infrastructure and Standards

Pediatric AI in radiology lags behind adult applications due to scarce data, off-label use, and regulatory gaps. An AJR expert panel recommends a roadmap to establish dedicated pediatric AI infrastructure and standards, emphasizing diagnostic accuracy, workflow efficiency, and p…

• Children's continuous developmental changes require age-specific AI models trained on representative data, yet datasets are scarce and validation is insufficient.
• Ethical, regulatory, and reimbursement challenges—including consent for secondary data use and off-label adult models—must be addressed for safe pediatric AI adoption.
• The panel prioritizes an implementation roadmap to build pediatric AI infrastructure and standards, aiming to minimize bias and protect patient safety.

Automated summary

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