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Pediatric Radiology AI Insights

Expert perspectives on the gap between adult-trained AI and pediatric populations — from the only consultancy dedicated exclusively to pediatric radiology AI.

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Abstract visualization of AI evaluation data pipeline with training, validation, and testing segments
AI EvaluationData Quality

Your AI Passed Testing — But on Whose Data? An Insider's Guide to Evaluation That Actually Works

Robust datasets, triple splits, data leakage, single-rater bias, population bias — the insider perspective on why most pediatric AI evaluation is incomplete, and what rigorous evaluation actually requires.

April 14, 20269 min read
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Abstract illustration contrasting adult and child silhouettes with fundamentally different internal patterns
Pediatric AIRadiology

Children Are Not Small Adults — Why Adult-Trained AI Fails on Kids

Pediatric anatomy, diseases, and imaging are fundamentally different from adults. A thymus is not a tumor. A growth plate is not a fracture. Yet most radiology AI has never learned the difference.

April 10, 20267 min read
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Conceptual visualization of pediatric medical imaging and AI neural networks
Pediatric AIFDA Regulation

83% of FDA-Cleared AI Devices Have No Pediatric Labeling — Here's Why That Matters

Over 1,100 FDA-cleared radiology AI devices exist today. Fewer than 3% indicate pediatric intent. When tested on children, detection sensitivity drops to as low as 26%. The AI industry is building for adults and hoping it works for kids. It doesn't.

April 8, 20266 min read
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