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#artificial intelligence Review Oct 2026

Evaluating OpenEvidence Across Pediatric Subspecialties: A Guideline-Anchored Expert Review.

OBJECTIVE To evaluate the quality, safety, and citation characteristics of OpenEvidence across pediatric subspecialties. METHODS Guideline-anchored clinical questions spanning high, moderate, and low evidence certainty across 6 pediatric subspecialties were submitted to OpenEvidence. Expert reviewer pairs independent...

R. B. Hunter, Lauren M. Hess, Douglas M. Wells et al. · 0 citations
Review Sep 2026

Pediatric Artificial Intelligence in Radiology: Unmet Needs and Next Steps-AJR Expert Panel Review.

The panel gives key recommendations, emphasizing the importance of an implementation roadmap to establish a dedicated pediatric AI infrastructure and standards that are essential to ensure diagnostic accuracy, workflow efficiency, and optimal clinical outcomes for children while minimizing bias and protecting patient s...

Mario Sinti-Ycochea, M. Sammer, Susan Sotardi et al. · 0 citations

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